<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Architecture on AI Knowledge Base</title><link>https://learn-ai.blindshot.kz/topics/architecture/</link><description>Recent content in Architecture on AI Knowledge Base</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://learn-ai.blindshot.kz/topics/architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>Emerging Architectures for LLM Applications</title><link>https://learn-ai.blindshot.kz/docs/ai-strategy/architecture/ai-architecture-patterns/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ai-strategy/architecture/ai-architecture-patterns/</guid><description>Reference architecture for the LLM application stack, covering data pipelines, embedding models, vector databases, orchestration frameworks, and operational tooling.</description></item><item><title>Introduction to Model Context Protocol</title><link>https://learn-ai.blindshot.kz/courses/anthropic-intro-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/courses/anthropic-intro-mcp/</guid><description>&lt;p&gt;The only structured course on MCP available anywhere — Anthropic Academy&amp;rsquo;s introduction covers MCP architecture, the client-server model, tools/resources/prompts primitives, and building your first MCP server. This is the video/hands-on complement to the MCP documentation in this knowledge base. The MCP Fundamentals learning path provides the documentation reference; this course provides the guided walkthrough with exercises.&lt;/p&gt;</description></item><item><title>Symphony Service Specification</title><link>https://learn-ai.blindshot.kz/docs/openai/symphony/spec/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/symphony/spec/</guid><description>Complete technical specification for implementing Symphony: six architectural layers, orchestration state machine, workspace management, agent runner protocol, polling and scheduling, retry semantics, and observability.</description></item><item><title>MCP: Advanced Topics</title><link>https://learn-ai.blindshot.kz/courses/anthropic-mcp-advanced/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/courses/anthropic-mcp-advanced/</guid><description>&lt;p&gt;Advanced MCP patterns including complex tool implementations, resource management, transport configuration, authentication, and production deployment. This is the second course in Anthropic&amp;rsquo;s unique MCP sequence — no other provider offers this depth of MCP training. Pairs with the Building MCP Servers learning path for a complete MCP education: the course provides guided exercises, the path provides documentation deep-dives.&lt;/p&gt;</description></item><item><title>MCP Fundamentals</title><link>https://learn-ai.blindshot.kz/paths/mcp-fundamentals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/mcp-fundamentals/</guid><description>&lt;p&gt;Go from zero to a solid understanding of the Model Context Protocol. This path covers the core architecture, primitives (tools, resources, prompts), transport mechanisms, and how clients and servers interact.&lt;/p&gt;
&lt;p&gt;By the end you&amp;rsquo;ll understand the MCP mental model well enough to evaluate MCP servers, build simple integrations, and read the specification confidently.&lt;/p&gt;</description></item><item><title>Orchestration State Machine</title><link>https://learn-ai.blindshot.kz/docs/openai/symphony/orchestration-state-machine/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/symphony/orchestration-state-machine/</guid><description>Symphony&amp;rsquo;s state machine for issue lifecycle: polling, dispatch, active run tracking, retry queuing with exponential backoff, and reconciliation of running issues against tracker state changes.</description></item><item><title>The Agentic Protocol Stack</title><link>https://learn-ai.blindshot.kz/paths/agentic-protocols/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/agentic-protocols/</guid><description>&lt;p&gt;Understand the three open protocols forming the agentic AI communication stack:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;MCP&lt;/strong&gt; (agent-to-tool) — how agents use external tools and data&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;A2A&lt;/strong&gt; (agent-to-agent) — how agents collaborate across platforms&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;AG-UI&lt;/strong&gt; (agent-to-user) — how agents communicate with frontends&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;All three are converging under the Linux Foundation&amp;rsquo;s Agentic AI Foundation (AAIF). This path teaches you the architecture and practical usage of each layer.&lt;/p&gt;</description></item><item><title>Deployment to Production</title><link>https://learn-ai.blindshot.kz/paths/deployment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/deployment/</guid><description>&lt;p&gt;Take AI applications from prototype to production. This path covers the full deployment journey across providers: production checklists, rate limit management, batch processing for cost reduction, and agent-specific deployment patterns.&lt;/p&gt;
&lt;p&gt;The key cross-provider insight: every provider has rate limits, batch APIs, and deployment recommendations, but the specifics differ meaningfully. Learning both OpenAI and Anthropic patterns helps you design resilient systems, and understanding framework deployment (LangGraph, CrewAI) is essential for agent-based applications.&lt;/p&gt;</description></item><item><title>Understanding AI Agents &amp; Protocols</title><link>https://learn-ai.blindshot.kz/paths/ai-agents-for-leaders/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/ai-agents-for-leaders/</guid><description>&lt;p&gt;A non-technical guide to AI agents and the emerging protocol standards for product leaders and executives. Learn what agents are, why they matter for your product, and how the industry is standardizing agent communication through protocols like MCP, A2A, and AG-UI.&lt;/p&gt;
&lt;p&gt;By the end of this path, you&amp;rsquo;ll understand the difference between chatbots and agents, how agents connect to external tools and data, and what enterprise agent deployment looks like. You&amp;rsquo;ll be equipped to evaluate whether your product needs agent capabilities and what infrastructure choices your team should be making.&lt;/p&gt;</description></item><item><title>AI Architecture for Technical Leaders</title><link>https://learn-ai.blindshot.kz/paths/ai-architecture-technical-leaders/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/paths/ai-architecture-technical-leaders/</guid><description>&lt;p&gt;A technically rigorous guide to AI system architecture for product managers and executives who can evaluate architecture diagrams. This path walks through the major architectural decisions in modern AI systems — from the LLM application stack to agent frameworks, communication protocols, and multi-model strategies.&lt;/p&gt;
&lt;p&gt;By the end of this path, you&amp;rsquo;ll be able to: evaluate your engineering team&amp;rsquo;s architecture proposals with informed questions, understand the protocol landscape (MCP, AG-UI) for platform integration decisions, and assess whether your system architecture is ready for multi-model, multi-agent production workloads.&lt;/p&gt;</description></item><item><title>A2A JSON-RPC</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/a2a/a2a-json-rpc/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/agent-server-api/a2a/a2a-json-rpc/</guid><description>Communicate with an assistant using the Agent-to-Agent (A2A) Protocol over JSON-RPC 2.0.</description></item><item><title>A2A vs MCP</title><link>https://learn-ai.blindshot.kz/docs/a2a/blog/a2a-vs-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/blog/a2a-vs-mcp/</guid><description>Understanding how A2A complements the Model Context Protocol</description></item><item><title>A2A vs MCP</title><link>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/a2a-vs-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/a2a-vs-mcp/</guid><description>Detailed comparison with Model Context Protocol</description></item><item><title>Access the W&amp;B MCP Server</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/mcp-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/mcp-server/</guid><description>Connect your IDE or LLM application to W&amp;amp;B&amp;rsquo;s Model Context Protocol (MCP) server to provide your agent with access to your W&amp;amp;B workspace, data, and W&amp;amp;B&amp;rsquo;s documentation.</description></item><item><title>ADK with Agent2Agent (A2A) Protocol</title><link>https://learn-ai.blindshot.kz/docs/google/adk/a2a/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/a2a/_overview/</guid><description/></item><item><title>Agent Client Protocol (ACP)</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/acp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/deepagents/acp/</guid><description>Expose Deep Agents over the Agent Client Protocol (ACP) to integrate with code editors and IDEs.</description></item><item><title>Agent Client Protocol (ACP)</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/acp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/acp/</guid><description>Expose Deep Agents over the Agent Client Protocol (ACP) to integrate with code editors and IDEs.</description></item><item><title>Agent Framework Overview</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/overview/</guid><description>Introduction to Microsoft Agent Framework: combining AutoGen&amp;rsquo;s agent abstractions with Semantic Kernel&amp;rsquo;s enterprise features for production-grade multi-agent orchestration.</description></item><item><title>Agents</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/agents/</guid><description>Learn about agents in the Agent User Interaction Protocol</description></item><item><title>Agents Overview</title><link>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/agents-overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/agent-framework/agents-overview/</guid><description>Core agent abstraction in the Microsoft Agent Framework: agent types, providers, skills, and conversation management.</description></item><item><title>AI Mind Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/aimindtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/aimindtool/</guid><description>The &amp;lsquo;AIMindTool&amp;rsquo; is designed to query data sources in natural language.</description></item><item><title>Antitrust Policy</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/antitrust/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/antitrust/</guid><description>MCP Project Antitrust Policy for participants and contributors</description></item><item><title>API deployment checklist</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/deployment-checklist/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/deployment-checklist/</guid><description>Review commonly underused Responses API design choices that improve deployment quality, speed, cost, and reliability.</description></item><item><title>Architecture</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/architecture/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/architecture/_overview/</guid><description/></item><item><title>Architecture</title><link>https://learn-ai.blindshot.kz/docs/chroma/docs/overview/architecture/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/docs/overview/architecture/</guid><description>Chroma is designed with a modular architecture that prioritizes performance and ease of use. It scales seamlessly from local development to large-scale production, while exposing a consistent API across all deployment modes.</description></item><item><title>Architecture</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/get-started/database-architecture/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/get-started/database-architecture/</guid><description>Learn how Pinecone&amp;rsquo;s architecture enables fast, relevant vector search at any scale.</description></item><item><title>Architecture overview</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/learn/architecture/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/learn/architecture/</guid><description>&lt;p&gt;The most important mental model here is the three-layer architecture: Host (the application), Client (the protocol handler), and Server (the capability provider). A common mistake is conflating the host and the client &amp;ndash; the host is the user-facing application (like Claude Desktop), while the client is an internal protocol component that maintains a 1:1 connection with a single server. Understanding this separation is essential before reading the specification or building anything.&lt;/p&gt;</description></item><item><title>Architecture Overview</title><link>https://learn-ai.blindshot.kz/docs/chroma/reference/architecture/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/reference/architecture/overview/</guid><description>How Chroma is structured across local, single-node, and distributed deployments.</description></item><item><title>Authorization</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/authorization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/authorization/</guid><description>&lt;p&gt;The MCP authorization specification defines the OAuth 2.0-based flow that remote MCP servers use to authenticate clients, and it is the formal basis for everything the higher-level registry authentication guide simplifies. Focus on the required OAuth grant types, token scoping rules, and the metadata discovery mechanism that clients use to find a server&amp;rsquo;s authorization endpoint. A key gotcha is that the spec mandates specific OAuth metadata fields that many generic OAuth libraries do not populate by default, so you may need custom configuration even when using well-known auth frameworks. This is dense specification text best read alongside a working implementation for reference.&lt;/p&gt;</description></item><item><title>Authorization Extensions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/auth/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/auth/overview/</guid><description>Supplementary authorization mechanisms for the Model Context Protocol</description></item><item><title>Awesome A2A</title><link>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/awesome-a2a/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/awesome-a2a/</guid><description>Curated list of A2A resources</description></item><item><title>Brave Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/bravesearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/bravesearchtool/</guid><description>The &amp;lsquo;BraveSearchTool&amp;rsquo; is designed to search the internet using the Brave Search API.</description></item><item><title>Build an MCP App</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/apps/build/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/apps/build/</guid><description>Getting started guide for building interactive UI applications with MCP Apps</description></item><item><title>Build an MCP client</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-client/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-client/</guid><description>Get started building your own client that can integrate with all MCP servers.</description></item><item><title>Build an MCP server</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-server/</guid><description>Get started building your own server to use in Claude for Desktop and other clients.</description></item><item><title>Build with Agent Skills</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-with-agent-skills/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/build-with-agent-skills/</guid><description>Use agent skills to guide AI coding assistants through MCP server design and implementation</description></item><item><title>Callback patterns</title><link>https://learn-ai.blindshot.kz/docs/google/adk/callbacks/design-patterns-and-best-practices/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/callbacks/design-patterns-and-best-practices/_overview/</guid><description/></item><item><title>Cancellation</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/utilities/cancellation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/utilities/cancellation/</guid><description/></item><item><title>Capabilities</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/capabilities/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/capabilities/</guid><description>Dynamic capability discovery for agents in the AG-UI protocol</description></item><item><title>ChatKit widgets</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/chatkit-widgets/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/chatkit-widgets/</guid><description>Learn how to design widgets in your chat experience with ChatKit.</description></item><item><title>Code Docs RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/codedocssearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/codedocssearchtool/</guid><description>The &amp;lsquo;CodeDocsSearchTool&amp;rsquo; is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within code documentation.</description></item><item><title>Code Interpreter</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/codeinterpretertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/codeinterpretertool/</guid><description>The &amp;lsquo;CodeInterpreterTool&amp;rsquo; is a powerful tool designed for executing Python 3 code within a secure, isolated environment.</description></item><item><title>Community</title><link>https://learn-ai.blindshot.kz/docs/a2a/google/a2a/discussions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/google/a2a/discussions/</guid><description>Join discussions and contribute to protocol development</description></item><item><title>Completion</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/utilities/completion/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/utilities/completion/</guid><description/></item><item><title>Component architecture</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/component-architecture/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/component-architecture/</guid><description/></item><item><title>Component architecture</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/component-architecture/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/component-architecture/</guid><description/></item><item><title>Connect Claude Code to tools via MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/claude-code/mcp/</guid><description>Learn how to connect Claude Code to your tools with the Model Context Protocol.</description></item><item><title>Connect to local MCP servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/connect-local-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/connect-local-servers/</guid><description>Learn how to extend Claude Desktop with local MCP servers to enable file system access and other powerful integrations</description></item><item><title>Connect to remote MCP Servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/connect-remote-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/develop/connect-remote-servers/</guid><description>Learn how to connect Claude to remote MCP servers and extend its capabilities with internet-hosted tools and data sources</description></item><item><title>Contributing</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/development/contributing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/development/contributing/</guid><description>How to participate in Agent User Interaction Protocol development</description></item><item><title>Contributing to MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/contributing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/contributing/</guid><description>How to contribute to the Model Context Protocol project</description></item><item><title>Contributor Communication</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/communication/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/communication/</guid><description>Communication strategy and framework for the Model Context Protocol community</description></item><item><title>Contributor Ladder</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/contributor-ladder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/contributor-ladder/</guid><description>Roles, responsibilities, and advancement criteria for MCP contributors, from first contribution to Core Maintainer</description></item><item><title>Core architecture</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/architecture/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/architecture/</guid><description>Understand how AG-UI connects front-end applications to AI agents</description></item><item><title>Crafting Effective Agents</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/guides/agents/crafting-effective-agents/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/guides/agents/crafting-effective-agents/</guid><description>Learn best practices for designing powerful, specialized AI agents that collaborate effectively to solve complex problems.</description></item><item><title>CSV RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/csvsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/csvsearchtool/</guid><description>The &amp;lsquo;CSVSearchTool&amp;rsquo; is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within a CSV file&amp;rsquo;s content.</description></item><item><title>DALL-E Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/dalletool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/dalletool/</guid><description>The &amp;lsquo;DallETool&amp;rsquo; is a powerful tool designed for generating images from textual descriptions.</description></item><item><title>Debugging</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/tutorials/debugging/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/tutorials/debugging/</guid><description>A comprehensive guide to debugging Agent User Interaction Protocol (AG-UI) integrations</description></item><item><title>Debugging</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/tools/debugging/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/tools/debugging/</guid><description>A comprehensive guide to debugging Model Context Protocol (MCP) integrations</description></item><item><title>Design Principles</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/design-principles/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/design-principles/</guid><description>The core design principles that guide the development of the Model Context Protocol.</description></item><item><title>Directory RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/directorysearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/directorysearchtool/</guid><description>The &amp;lsquo;DirectorySearchTool&amp;rsquo; is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within a directory&amp;rsquo;s content.</description></item><item><title>Directory Read</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/directoryreadtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/directoryreadtool/</guid><description>The &amp;lsquo;DirectoryReadTool&amp;rsquo; is a powerful utility designed to provide a comprehensive listing of directory contents.</description></item><item><title>Distributed Architecture</title><link>https://learn-ai.blindshot.kz/docs/chroma/reference/architecture/distributed/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/reference/architecture/distributed/</guid><description>How Chroma scales out with independent services, object storage, SSD caches, and a shared system database.</description></item><item><title>DOCX RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/docxsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/docxsearchtool/</guid><description>The &amp;lsquo;DOCXSearchTool&amp;rsquo; is a RAG tool designed for semantic searching within DOCX documents.</description></item><item><title>Elicitation</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/client/elicitation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/client/elicitation/</guid><description/></item><item><title>Enterprise-Managed Authorization</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/auth/enterprise-managed-authorization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/auth/enterprise-managed-authorization/</guid><description>Centralized access control for MCP in enterprise environments via identity providers</description></item><item><title>Events</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/events/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/concepts/events/</guid><description>Understanding events in the Agent User Interaction Protocol</description></item><item><title>Events</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/events/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/events/</guid><description>Documentation for the events used in the Agent User Interaction Protocol SDK</description></item><item><title>Events</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/events/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/events/</guid><description>Documentation for the events used in the Agent User Interaction Protocol Python SDK</description></item><item><title>EXA Search Web Loader</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/exasearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/exasearchtool/</guid><description>The &amp;lsquo;EXASearchTool&amp;rsquo; is designed to perform a semantic search for a specified query from a text&amp;rsquo;s content across the internet.</description></item><item><title>Example Clients</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/clients/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/clients/</guid><description>A list of applications that support MCP integrations</description></item><item><title>Example Servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/examples/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/examples/</guid><description>A list of example servers and implementations</description></item><item><title>Extension Support Matrix</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/client-matrix/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/client-matrix/</guid><description>Which MCP clients implement which official extensions</description></item><item><title>Extensions Overview</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/overview/</guid><description>Optional extensions to the Model Context Protocol</description></item><item><title>File Read</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/filereadtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/filereadtool/</guid><description>The &amp;lsquo;FileReadTool&amp;rsquo; is designed to read files from the local file system.</description></item><item><title>File Write</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/filewritetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/filewritetool/</guid><description>The &amp;lsquo;FileWriterTool&amp;rsquo; is designed to write content to files.</description></item><item><title>Firecrawl Crawl Website</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlcrawlwebsitetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlcrawlwebsitetool/</guid><description>The &amp;lsquo;FirecrawlCrawlWebsiteTool&amp;rsquo; is designed to crawl and convert websites into clean markdown or structured data.</description></item><item><title>Firecrawl Scrape Website</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlscrapewebsitetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/firecrawlscrapewebsitetool/</guid><description>The &amp;lsquo;FirecrawlScrapeWebsiteTool&amp;rsquo; is designed to scrape websites and convert them into clean markdown or structured data.</description></item><item><title>Frequently Asked Questions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/faq/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/faq/</guid><description>&lt;p&gt;This FAQ addresses the practical edge cases that the other registry guides do not cover in depth, including questions about naming conflicts, transfer of ownership, and delisting policies. Read this after you have gone through the main registry overview and authentication guides, since many answers assume familiarity with those workflows. The sections on troubleshooting publishing failures are particularly valuable if you encounter cryptic errors during your first submission attempt.&lt;/p&gt;</description></item><item><title>Github Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/githubsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/githubsearchtool/</guid><description>The &amp;lsquo;GithubSearchTool&amp;rsquo; is designed to search websites and convert them into clean markdown or structured data.</description></item><item><title>Google Serper Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serperdevtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/serperdevtool/</guid><description>The &amp;lsquo;SerperDevTool&amp;rsquo; is designed to search the internet and return the most relevant results.</description></item><item><title>Governance and Stewardship</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/governance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/governance/</guid><description>Learn about the Model Context Protocol&amp;rsquo;s governance structure and how to participate in the community</description></item><item><title>Group Charter Template</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/charter-template/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/charter-template/</guid><description>Template for MCP Working Group and Interest Group charters.</description></item><item><title>How to Authenticate When Publishing to the Official MCP Registry</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/authentication/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/authentication/</guid><description>&lt;p&gt;Authentication is the first barrier you will hit when trying to publish an MCP server to the official registry, and getting it wrong means silent failures with unhelpful error messages. Focus on how GitHub-based identity verification works and the relationship between your GitHub account and registry publishing permissions. If you are building CI/CD pipelines for MCP server releases, read this before the GitHub Actions guide so you understand the credential flow that automation depends on.&lt;/p&gt;</description></item><item><title>How to Automate Publishing with GitHub Actions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/github-actions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/github-actions/</guid><description>&lt;p&gt;Automating MCP server publishing through GitHub Actions eliminates manual release steps and ensures every tagged release reaches the registry consistently. The guide walks through workflow file configuration, secret management for registry credentials, and trigger conditions for version-based publishing. A common pitfall is misconfiguring the authentication token scope, which produces permissions errors that surface only at publish time rather than during the workflow setup. Read the authentication guide first to understand the credential requirements before wiring up the action.&lt;/p&gt;</description></item><item><title>Introduction Design Philosophy</title><link>https://learn-ai.blindshot.kz/docs/deepeval/docs/introduction-design-philosophy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepeval/docs/introduction-design-philosophy/</guid><description/></item><item><title>JSON RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/jsonsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/jsonsearchtool/</guid><description>The &amp;lsquo;JSONSearchTool&amp;rsquo; is designed to search JSON files and return the most relevant results.</description></item><item><title>Key Changes</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/changelog/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/changelog/</guid><description/></item><item><title>LangChain overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/overview/</guid><description>LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool — so you can build agents that adapt as fast as the ecosystem evolves</description></item><item><title>LangChain overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/overview/</guid><description>LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool — so you can build agents that adapt as fast as the ecosystem evolves</description></item><item><title>LangGraph overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langgraph/overview/</guid><description>Gain control with LangGraph to design agents that reliably handle complex tasks</description></item><item><title>LangGraph overview</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langgraph/overview/</guid><description>Gain control with LangGraph to design agents that reliably handle complex tasks</description></item><item><title>LangSmith MCP Server</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langsmith-mcp-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/langsmith-mcp-server/</guid><description>Use the Model Context Protocol (MCP) server to let language models fetch conversation history, prompts, runs, datasets, experiments, and billing from LangSmith.</description></item><item><title>Lifecycle</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/lifecycle/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/lifecycle/</guid><description>&lt;p&gt;The lifecycle specification defines the three phases every MCP connection goes through: initialization, operation, and shutdown. Focus especially on the initialization handshake where client and server exchange capabilities &amp;ndash; getting this wrong is the most common source of connection failures. Note that the protocol version negotiation happens here too, so mismatched versions between client and server will fail fast at this stage rather than producing mysterious errors later.&lt;/p&gt;</description></item><item><title>Logging</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/utilities/logging/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/utilities/logging/</guid><description/></item><item><title>Look at Your Data</title><link>https://learn-ai.blindshot.kz/docs/chroma/guides/build/look-at-your-data/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/guides/build/look-at-your-data/</guid><description>Design your collection schema and chunking strategy based on your data.</description></item><item><title>MCP</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/agents/mcp/</guid><description>MCP is an open standard protocol for seamless AI model integration with data sources and tools</description></item><item><title>MCP Apps</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/apps/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/apps/overview/</guid><description>Interactive UI applications that render inside MCP hosts like Claude Desktop</description></item><item><title>MCP Inspector</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/tools/inspector/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/tools/inspector/</guid><description>In-depth guide to using the MCP Inspector for testing and debugging Model Context Protocol servers</description></item><item><title>MCP Registry Aggregators</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/registry-aggregators/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/registry-aggregators/</guid><description/></item><item><title>MCP Registry Supported Package Types</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/package-types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/package-types/</guid><description>&lt;p&gt;The MCP registry supports multiple package types and choosing the wrong one constrains how clients can discover and install your server. Understanding the distinction between npm packages, Docker images, and other supported formats is critical before you publish, because changing package type after initial publication creates migration headaches for existing consumers. Focus on the compatibility matrix between package types and host applications, since not every MCP client supports every format equally well.&lt;/p&gt;</description></item><item><title>MCP Tools</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/mcp-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/deepagents/cli/mcp-tools/</guid><description>Load additional tools from MCP (Model Context Protocol) servers</description></item><item><title>MCP, A2A, and AG-UI</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/agentic-protocols/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/agentic-protocols/</guid><description>Understanding how AG-UI complements and works with MCP and A2A</description></item><item><title>MDX RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/mdxsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/mdxsearchtool/</guid><description>The &amp;lsquo;MDXSearchTool&amp;rsquo; is designed to search MDX files and return the most relevant results.</description></item><item><title>Middleware</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/quickstart/middleware/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/quickstart/middleware/</guid><description>Connect to existing protocols, in process agents or custom solutions via AG-UI</description></item><item><title>Model Context Protocol</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/mcp/</guid><description>Connect MCP servers so agents can request external data or actions through standardized tool APIs.</description></item><item><title>Model Context Protocol (MCP)</title><link>https://learn-ai.blindshot.kz/docs/google/adk/mcp/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/google/adk/mcp/_overview/</guid><description/></item><item><title>Model Context Protocol (MCP)</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/javascript/langchain/mcp/</guid><description/></item><item><title>Model Context Protocol (MCP)</title><link>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/oss/python/langchain/mcp/</guid><description>&lt;p&gt;LangChain&amp;rsquo;s MCP integration allows you to expose MCP servers as LangChain tools, bridging two of the most important ecosystems in the AI tooling space. This is particularly valuable if you have existing MCP servers and want to use them within LangChain agents or LangGraph workflows without rewriting tool definitions. Focus on how MCP tool schemas map to LangChain&amp;rsquo;s tool interface and what metadata is preserved or lost in translation. Be aware that MCP&amp;rsquo;s streaming and sampling capabilities may not map perfectly to LangChain&amp;rsquo;s tool abstraction, so test complex MCP servers thoroughly after integration.&lt;/p&gt;</description></item><item><title>Model Context Protocol (MCP) and Weave</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/integrations/mcp/</guid><description>Trace activity between your MCP client and MCP server with Weave</description></item><item><title>MySQL RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/mysqltool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/mysqltool/</guid><description>The &amp;lsquo;MySQLSearchTool&amp;rsquo; is designed to search MySQL databases and return the most relevant results.</description></item><item><title>NL2SQL Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/nl2sqltool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/nl2sqltool/</guid><description>The &amp;lsquo;NL2SQLTool&amp;rsquo; is designed to convert natural language to SQL queries.</description></item><item><title>OAuth Client Credentials</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/auth/oauth-client-credentials/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/extensions/auth/oauth-client-credentials/</guid><description>Machine-to-machine authentication for MCP using the OAuth 2.0 client credentials flow</description></item><item><title>Official MCP Registry Terms of Service</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/terms-of-service/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/terms-of-service/</guid><description/></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/drafts/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/drafts/overview/</guid><description>Draft changes being considered for the AG-UI protocol</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/overview/</guid><description>Core concepts in the Agent User Interaction Protocol SDK</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/overview/</guid><description>Core concepts in the Agent User Interaction Protocol SDK</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/encoder/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/encoder/overview/</guid><description>Documentation for encoding Agent User Interaction Protocol events</description></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/_overview/</guid><description/></item><item><title>Overview</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/_overview/</guid><description/></item><item><title>Pagination</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/utilities/pagination/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/utilities/pagination/</guid><description/></item><item><title>PDF RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/pdfsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/pdfsearchtool/</guid><description>The &amp;lsquo;PDFSearchTool&amp;rsquo; is designed to search PDF files and return the most relevant results.</description></item><item><title>PG RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/pgsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/pgsearchtool/</guid><description>The &amp;lsquo;PGSearchTool&amp;rsquo; is designed to search PostgreSQL databases and return the most relevant results.</description></item><item><title>Pinecone Assistant architecture</title><link>https://learn-ai.blindshot.kz/docs/pinecone/reference/architecture/assistant-architecture/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/reference/architecture/assistant-architecture/</guid><description/></item><item><title>Ping</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/utilities/ping/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/utilities/ping/</guid><description/></item><item><title>Platform Overview</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/together-deployments/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/together-deployments/</guid><description>Architecture, deployment lifecycle, and core concepts for Dedicated Container Inference.</description></item><item><title>Production Architecture</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/production-architecture/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/concepts/production-architecture/</guid><description>Best practices for building production-ready AI applications with CrewAI</description></item><item><title>Progress</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/utilities/progress/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/utilities/progress/</guid><description/></item><item><title>Prompts</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/prompts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/prompts/</guid><description>&lt;p&gt;Prompts are the least commonly used of the three MCP primitives, but they fill an important niche: reusable, parameterized templates that help users invoke common workflows. Think of them as saved recipes that combine a specific prompt structure with dynamic arguments. Unlike tools and resources, prompts are user-initiated &amp;ndash; the user explicitly selects a prompt from a menu rather than the model discovering it automatically. This makes them ideal for standardizing repetitive interactions like &amp;ldquo;summarize this codebase&amp;rdquo; or &amp;ldquo;review this PR.&amp;rdquo;&lt;/p&gt;</description></item><item><title>Publishing Remote Servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/remote-servers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/remote-servers/</guid><description>&lt;p&gt;Remote servers represent a significant architectural shift from the local stdio-based MCP servers most developers start with, enabling cloud-hosted tools accessible over HTTP with persistent sessions. This guide covers the specific requirements for publishing remote servers to the registry, including endpoint URL configuration and health check expectations. Watch for the distinction between the server&amp;rsquo;s transport URL and its registry metadata URL, as confusing the two is a frequent source of registration failures. Read this after the general registry overview if you plan to deploy MCP servers as hosted services rather than local processes.&lt;/p&gt;</description></item><item><title>Python Guide</title><link>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/python-a2a/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/python-a2a/</guid><description>Python implementation guide</description></item><item><title>Python v2 SDK Migration Guide</title><link>https://learn-ai.blindshot.kz/docs/together-ai/docs/pythonv2-migration-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/docs/pythonv2-migration-guide/</guid><description>Migrate from Together Python v1 to v2 - the new Together AI Python SDK with improved type safety and modern architecture.</description></item><item><title>Quickstart: Publish an MCP Server to the MCP Registry</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/quickstart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/quickstart/</guid><description>&lt;p&gt;Publishing your MCP server to the registry makes it discoverable by any MCP client, which is a critical step for adoption beyond your own projects. Focus on the metadata requirements (name, description, capabilities) because poorly described servers are effectively invisible in the registry. Note that the registry currently requires GitHub-based authentication and a specific package manifest format — read through the validation errors carefully if your first publish attempt fails, as the error messages are quite specific. Come to this doc after you have a working server from the build-server tutorial, since you need a functional server before publishing makes sense.&lt;/p&gt;</description></item><item><title>Reference Architecture</title><link>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/self-managed/ref-arch/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/platform/hosting/self-managed/ref-arch/</guid><description>W&amp;amp;B Reference Architecture</description></item><item><title>Reference architectures</title><link>https://learn-ai.blindshot.kz/docs/pinecone/examples/reference-architectures/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/examples/reference-architectures/</guid><description/></item><item><title>Resources</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/resources/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/resources/</guid><description>&lt;p&gt;Resources are how MCP servers expose data to the model without requiring the model to &amp;ldquo;call&amp;rdquo; anything &amp;ndash; think of them as files or documents the application can pull into context. The key distinction from tools is that resources are application-controlled (the host decides when to read them), while tools are model-controlled (the model decides when to invoke them). Pay attention to the URI-based addressing scheme, which lets clients discover and subscribe to resource updates. If your use case is primarily about providing context rather than performing actions, resources are usually the better primitive.&lt;/p&gt;</description></item><item><title>Roadmap</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/development/roadmap/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/development/roadmap/</guid><description>Our plans for evolving Agent User Interaction Protocol</description></item><item><title>Roadmap</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/development/roadmap/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/development/roadmap/</guid><description>Our plans for evolving Model Context Protocol</description></item><item><title>Roots</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/client/roots/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/client/roots/</guid><description/></item><item><title>Sample Methods</title><link>https://learn-ai.blindshot.kz/docs/a2a/blog/a2a-sample-methods-and-json-responses/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/blog/a2a-sample-methods-and-json-responses/</guid><description>Comprehensive examples of protocol methods and responses</description></item><item><title>Sample Methods</title><link>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/a2a-sample-methods-and-json-responses/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/a2a-sample-methods-and-json-responses/</guid><description>Comprehensive examples</description></item><item><title>Sampling</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/client/sampling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/client/sampling/</guid><description>&lt;p&gt;Sampling is the mechanism that allows an MCP server to request LLM completions through the client, effectively enabling servers to leverage AI capabilities without embedding their own model access. This is one of the most powerful and least intuitive parts of the MCP specification because it inverts the typical client-server relationship. Pay careful attention to the human-in-the-loop requirements, since the spec mandates that clients must obtain user approval before fulfilling sampling requests, which has significant UX implications. If you are building agentic MCP servers that need to reason or generate text, understanding this capability is essential.&lt;/p&gt;</description></item><item><title>Schema Reference</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/schema/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/schema/</guid><description/></item><item><title>Scrape Website</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapewebsitetool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/scrapewebsitetool/</guid><description>The &amp;lsquo;ScrapeWebsiteTool&amp;rsquo; is designed to extract and read the content of a specified website.</description></item><item><title>SDK Tiering System</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/sdk-tiers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/sdk-tiers/</guid><description>Feature completeness, protocol support, and maintenance commitment levels for Model Context Protocol SDKs</description></item><item><title>SDKs</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/sdk/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/sdk/</guid><description>Official SDKs for building with Model Context Protocol</description></item><item><title>Security Best Practices</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/tutorials/security/security_best_practices/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/tutorials/security/security_best_practices/</guid><description>Security considerations, attack vectors, and best practices for MCP implementations</description></item><item><title>Selenium Scraper</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/seleniumscrapingtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/seleniumscrapingtool/</guid><description>The &amp;lsquo;SeleniumScrapingTool&amp;rsquo; is designed to extract and read the content of a specified website using Selenium.</description></item><item><title>SEP Guidelines</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/sep-guidelines/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/sep-guidelines/</guid><description>Specification Enhancement Proposal (SEP) guidelines for proposing changes to the Model Context Protocol</description></item><item><title>SEP-1024: MCP Client Security Requirements for Local Server Installation</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1024-mcp-client-security-requirements-for-local-server-/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1024-mcp-client-security-requirements-for-local-server-/</guid><description>MCP Client Security Requirements for Local Server Installation</description></item><item><title>SEP-1024: MCP Client Security Requirements for Local Server Installation</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1024-mcp-client-security-requirements-for-local-server-/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1024-mcp-client-security-requirements-for-local-server-/</guid><description>MCP Client Security Requirements for Local Server Installation</description></item><item><title>SEP-1034: Support default values for all primitive types in elicitation schemas</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1034--support-default-values-for-all-primitive-types-in/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1034--support-default-values-for-all-primitive-types-in/</guid><description>Support default values for all primitive types in elicitation schemas</description></item><item><title>SEP-1034: Support default values for all primitive types in elicitation schemas</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1034--support-default-values-for-all-primitive-types-in/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1034--support-default-values-for-all-primitive-types-in/</guid><description>Support default values for all primitive types in elicitation schemas</description></item><item><title>SEP-1036: URL Mode Elicitation for secure out-of-band interactions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1036-url-mode-elicitation-for-secure-out-of-band-intera/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1036-url-mode-elicitation-for-secure-out-of-band-intera/</guid><description>URL Mode Elicitation for secure out-of-band interactions</description></item><item><title>SEP-1036: URL Mode Elicitation for secure out-of-band interactions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1036-url-mode-elicitation-for-secure-out-of-band-intera/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1036-url-mode-elicitation-for-secure-out-of-band-intera/</guid><description>URL Mode Elicitation for secure out-of-band interactions</description></item><item><title>SEP-1046: Support OAuth client credentials flow in authorization</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1046-support-oauth-client-credentials-flow-in-authoriza/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1046-support-oauth-client-credentials-flow-in-authoriza/</guid><description>Support OAuth client credentials flow in authorization</description></item><item><title>SEP-1046: Support OAuth client credentials flow in authorization</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1046-support-oauth-client-credentials-flow-in-authoriza/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1046-support-oauth-client-credentials-flow-in-authoriza/</guid><description>Support OAuth client credentials flow in authorization</description></item><item><title>SEP-1302: Formalize Working Groups and Interest Groups in MCP Governance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1302-formalize-working-groups-and-interest-groups-in-mc/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1302-formalize-working-groups-and-interest-groups-in-mc/</guid><description>Formalize Working Groups and Interest Groups in MCP Governance</description></item><item><title>SEP-1302: Formalize Working Groups and Interest Groups in MCP Governance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1302-formalize-working-groups-and-interest-groups-in-mc/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1302-formalize-working-groups-and-interest-groups-in-mc/</guid><description>Formalize Working Groups and Interest Groups in MCP Governance</description></item><item><title>SEP-1303: Input Validation Errors as Tool Execution Errors</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1303-input-validation-errors-as-tool-execution-errors/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1303-input-validation-errors-as-tool-execution-errors/</guid><description>Input Validation Errors as Tool Execution Errors</description></item><item><title>SEP-1303: Input Validation Errors as Tool Execution Errors</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1303-input-validation-errors-as-tool-execution-errors/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1303-input-validation-errors-as-tool-execution-errors/</guid><description>Input Validation Errors as Tool Execution Errors</description></item><item><title>SEP-1319: Decouple Request Payload from RPC Methods Definition</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1319-decouple-request-payload-from-rpc-methods-definiti/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1319-decouple-request-payload-from-rpc-methods-definiti/</guid><description>Decouple Request Payload from RPC Methods Definition</description></item><item><title>SEP-1319: Decouple Request Payload from RPC Methods Definition</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1319-decouple-request-payload-from-rpc-methods-definiti/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1319-decouple-request-payload-from-rpc-methods-definiti/</guid><description>Decouple Request Payload from RPC Methods Definition</description></item><item><title>SEP-1330: Elicitation Enum Schema Improvements and Standards Compliance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1330-elicitation-enum-schema-improvements-and-standards/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1330-elicitation-enum-schema-improvements-and-standards/</guid><description>Elicitation Enum Schema Improvements and Standards Compliance</description></item><item><title>SEP-1330: Elicitation Enum Schema Improvements and Standards Compliance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1330-elicitation-enum-schema-improvements-and-standards/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1330-elicitation-enum-schema-improvements-and-standards/</guid><description>Elicitation Enum Schema Improvements and Standards Compliance</description></item><item><title>SEP-1577: Sampling With Tools</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1577--sampling-with-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1577--sampling-with-tools/</guid><description>Sampling With Tools</description></item><item><title>SEP-1577: Sampling With Tools</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1577--sampling-with-tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1577--sampling-with-tools/</guid><description>Sampling With Tools</description></item><item><title>SEP-1613: Establish JSON Schema 2020-12 as Default Dialect for MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1613-establish-json-schema-2020-12-as-default-dialect-f/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1613-establish-json-schema-2020-12-as-default-dialect-f/</guid><description>Establish JSON Schema 2020-12 as Default Dialect for MCP</description></item><item><title>SEP-1613: Establish JSON Schema 2020-12 as Default Dialect for MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1613-establish-json-schema-2020-12-as-default-dialect-f/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1613-establish-json-schema-2020-12-as-default-dialect-f/</guid><description>Establish JSON Schema 2020-12 as Default Dialect for MCP</description></item><item><title>SEP-1686: Tasks</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1686-tasks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1686-tasks/</guid><description>Tasks</description></item><item><title>SEP-1686: Tasks</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1686-tasks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1686-tasks/</guid><description>Tasks</description></item><item><title>SEP-1699: Support SSE polling via server-side disconnect</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1699-support-sse-polling-via-server-side-disconnect/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1699-support-sse-polling-via-server-side-disconnect/</guid><description>Support SSE polling via server-side disconnect</description></item><item><title>SEP-1699: Support SSE polling via server-side disconnect</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1699-support-sse-polling-via-server-side-disconnect/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1699-support-sse-polling-via-server-side-disconnect/</guid><description>Support SSE polling via server-side disconnect</description></item><item><title>SEP-1730: SDKs Tiering System</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1730-sdks-tiering-system/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1730-sdks-tiering-system/</guid><description>SDKs Tiering System</description></item><item><title>SEP-1730: SDKs Tiering System</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1730-sdks-tiering-system/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1730-sdks-tiering-system/</guid><description>SDKs Tiering System</description></item><item><title>SEP-1850: PR-Based SEP Workflow</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1850-pr-based-sep-workflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1850-pr-based-sep-workflow/</guid><description>PR-Based SEP Workflow</description></item><item><title>SEP-1850: PR-Based SEP Workflow</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1850-pr-based-sep-workflow/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1850-pr-based-sep-workflow/</guid><description>PR-Based SEP Workflow</description></item><item><title>SEP-1865: MCP Apps - Interactive User Interfaces for MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1865-mcp-apps-interactive-user-interfaces-for-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/1865-mcp-apps-interactive-user-interfaces-for-mcp/</guid><description>MCP Apps - Interactive User Interfaces for MCP</description></item><item><title>SEP-1865: MCP Apps - Interactive User Interfaces for MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1865-mcp-apps-interactive-user-interfaces-for-mcp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/1865-mcp-apps-interactive-user-interfaces-for-mcp/</guid><description>MCP Apps - Interactive User Interfaces for MCP</description></item><item><title>SEP-2085: Governance Succession and Amendment Procedures</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/2085-governance-succession-and-amendment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/2085-governance-succession-and-amendment/</guid><description>Governance Succession and Amendment Procedures</description></item><item><title>SEP-2085: Governance Succession and Amendment Procedures</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2085-governance-succession-and-amendment/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2085-governance-succession-and-amendment/</guid><description>Governance Succession and Amendment Procedures</description></item><item><title>SEP-2133: Extensions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/2133-extensions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/2133-extensions/</guid><description>Extensions</description></item><item><title>SEP-2133: Extensions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2133-extensions/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2133-extensions/</guid><description>Extensions</description></item><item><title>SEP-2148: MCP Contributor Ladder</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2148-contributor-ladder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2148-contributor-ladder/</guid><description>MCP Contributor Ladder</description></item><item><title>SEP-2149: MCP Group Governance and Charter Template</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2149-working-group-charter-template/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2149-working-group-charter-template/</guid><description>MCP Group Governance and Charter Template</description></item><item><title>SEP-2207: OIDC-Flavored Refresh Token Guidance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2207-oidc-refresh-token-guidance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2207-oidc-refresh-token-guidance/</guid><description>OIDC-Flavored Refresh Token Guidance</description></item><item><title>SEP-2260: Require Server requests to be associated with a Client request.</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2260-require-server-requests-to-be-associated-with-client-requests/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/2260-require-server-requests-to-be-associated-with-client-requests/</guid><description>Require Server requests to be associated with a Client request.</description></item><item><title>SEP-414: Document OpenTelemetry Trace Context Propagation Conventions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/414-request-meta/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/414-request-meta/</guid><description>Document OpenTelemetry Trace Context Propagation Conventions</description></item><item><title>SEP-414: Document OpenTelemetry Trace Context Propagation Conventions</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/414-request-meta/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/414-request-meta/</guid><description>Document OpenTelemetry Trace Context Propagation Conventions</description></item><item><title>SEP-932: Model Context Protocol Governance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/932-model-context-protocol-governance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/932-model-context-protocol-governance/</guid><description>Model Context Protocol Governance</description></item><item><title>SEP-932: Model Context Protocol Governance</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/932-model-context-protocol-governance/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/932-model-context-protocol-governance/</guid><description>Model Context Protocol Governance</description></item><item><title>SEP-973: Expose additional metadata for Implementations, Resources, Tools and Prompts</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/973-expose-additional-metadata-for-implementations-res/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/973-expose-additional-metadata-for-implementations-res/</guid><description>Expose additional metadata for Implementations, Resources, Tools and Prompts</description></item><item><title>SEP-973: Expose additional metadata for Implementations, Resources, Tools and Prompts</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/973-expose-additional-metadata-for-implementations-res/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/973-expose-additional-metadata-for-implementations-res/</guid><description>Expose additional metadata for Implementations, Resources, Tools and Prompts</description></item><item><title>SEP-985: Align OAuth 2.0 Protected Resource Metadata with RFC 9728</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/985-align-oauth-20-protected-resource-metadata-with-rf/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/985-align-oauth-20-protected-resource-metadata-with-rf/</guid><description>Align OAuth 2.0 Protected Resource Metadata with RFC 9728</description></item><item><title>SEP-985: Align OAuth 2.0 Protected Resource Metadata with RFC 9728</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/985-align-oauth-20-protected-resource-metadata-with-rf/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/985-align-oauth-20-protected-resource-metadata-with-rf/</guid><description>Align OAuth 2.0 Protected Resource Metadata with RFC 9728</description></item><item><title>SEP-986: Specify Format for Tool Names</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/986-specify-format-for-tool-names/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/986-specify-format-for-tool-names/</guid><description>Specify Format for Tool Names</description></item><item><title>SEP-986: Specify Format for Tool Names</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/986-specify-format-for-tool-names/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/986-specify-format-for-tool-names/</guid><description>Specify Format for Tool Names</description></item><item><title>SEP-990: Enable enterprise IdP policy controls during MCP OAuth flows</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/990-enable-enterprise-idp-policy-controls-during-mcp-o/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/990-enable-enterprise-idp-policy-controls-during-mcp-o/</guid><description>Enable enterprise IdP policy controls during MCP OAuth flows</description></item><item><title>SEP-990: Enable enterprise IdP policy controls during MCP OAuth flows</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/990-enable-enterprise-idp-policy-controls-during-mcp-o/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/990-enable-enterprise-idp-policy-controls-during-mcp-o/</guid><description>Enable enterprise IdP policy controls during MCP OAuth flows</description></item><item><title>SEP-991: Enable URL-based Client Registration using OAuth Client ID Metadata Documents</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/991-enable-url-based-client-registration-using-oauth-c/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/991-enable-url-based-client-registration-using-oauth-c/</guid><description>Enable URL-based Client Registration using OAuth Client ID Metadata Documents</description></item><item><title>SEP-991: Enable URL-based Client Registration using OAuth Client ID Metadata Documents</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/991-enable-url-based-client-registration-using-oauth-c/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/991-enable-url-based-client-registration-using-oauth-c/</guid><description>Enable URL-based Client Registration using OAuth Client ID Metadata Documents</description></item><item><title>SEP-994: Shared Communication Practices/Guidelines</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/994-shared-communication-practicesguidelines/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/994-shared-communication-practicesguidelines/</guid><description>Shared Communication Practices/Guidelines</description></item><item><title>SEP-994: Shared Communication Practices/Guidelines</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/994-shared-communication-practicesguidelines/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/994-shared-communication-practicesguidelines/</guid><description>Shared Communication Practices/Guidelines</description></item><item><title>Server Card Charter</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/server-card/charter/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/server-card/charter/</guid><description>Charter for the MCP Server Card Working Group.</description></item><item><title>Specification</title><link>https://learn-ai.blindshot.kz/docs/a2a/google/a2a/tree/main/specification/json/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/google/a2a/tree/main/specification/json/</guid><description>Complete A2A protocol specifications</description></item><item><title>Specification</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/_overview/</guid><description/></item><item><title>Specification Enhancement Proposals (SEPs)</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/seps/_overview/</guid><description>Index of all MCP Specification Enhancement Proposals</description></item><item><title>Specification Enhancement Proposals (SEPs)</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/seps/_overview/</guid><description>Index of all MCP Specification Enhancement Proposals</description></item><item><title>Spider Scraper</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/spidertool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/web-scraping/spidertool/</guid><description>The &amp;lsquo;SpiderTool&amp;rsquo; is designed to extract and read the content of a specified website using Spider.</description></item><item><title>Tasks</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/utilities/tasks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/utilities/tasks/</guid><description/></item><item><title>Test Agent Card</title><link>https://learn-ai.blindshot.kz/docs/a2a/a2a-protocol-validator/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/a2a-protocol-validator/</guid><description>Online tool to validate if a domain supports the A2A protocol and visualize agent card information. Enter any URL to check for A2A protocol support and parse the agent.json file.</description></item><item><title>The MCP Registry</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/about/</guid><description>&lt;p&gt;This is the starting point for understanding the MCP registry, the centralized discovery layer that lets host applications find and install MCP servers by name. The registry is what turns MCP from a protocol into an ecosystem, so grasping its design goals and trust model is important before publishing or consuming servers. Read this overview first, then move to authentication and package types for the operational details. If you are evaluating whether to publish your MCP server publicly or keep it private, this page covers the discoverability and governance tradeoffs.&lt;/p&gt;</description></item><item><title>The MCP Registry Moderation Policy</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/moderation-policy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/moderation-policy/</guid><description/></item><item><title>Tools</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/tools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/server/tools/</guid><description>&lt;p&gt;Tools are the most commonly used MCP primitive &amp;ndash; they let the model invoke server-side functions with structured inputs and receive results. Focus on the JSON Schema-based input validation, which is how the model knows what arguments a tool accepts. A critical detail is that tool calls are model-initiated but require human approval in most host implementations, so design your tool descriptions to be clear enough that users understand what they are approving. Keep tool names concise and descriptions precise, as the model relies heavily on them for deciding when and how to call each tool.&lt;/p&gt;</description></item><item><title>Training Overview</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/cli-reference/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/cli-reference/</guid><description>Launch RFT jobs using the eval-protocol CLI</description></item><item><title>Transports</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/transports/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/2025-11-25/basic/transports/</guid><description>&lt;p&gt;MCP defines two transport mechanisms: stdio (standard input/output) and HTTP with Server-Sent Events (SSE). For local development and CLI-based servers, stdio is simpler and the right default choice. HTTP+SSE is needed when the server runs remotely or must handle multiple clients. A common gotcha is that the Streamable HTTP transport replaced the older SSE-only transport in the 2025-11-25 spec revision, so be careful not to follow outdated examples that use the previous approach.&lt;/p&gt;</description></item><item><title>Triggers and Events Charter</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/triggers-events/charter/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/triggers-events/charter/</guid><description>Charter for the MCP Triggers and Events Working Group.</description></item><item><title>TXT RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/txtsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/txtsearchtool/</guid><description>The &amp;lsquo;TXTSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a text file.</description></item><item><title>Types</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/js/core/types/</guid><description>Documentation for the core types used in the Agent User Interaction Protocol SDK</description></item><item><title>Types</title><link>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/ag-ui/sdk/python/core/types/</guid><description>Documentation for the core types used in the Agent User Interaction Protocol Python SDK</description></item><item><title>TypeScript Guide</title><link>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/a2a-typescript-guide/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/a2a-typescript-guide/</guid><description>TypeScript implementation guide</description></item><item><title>Understanding A2A</title><link>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/understanding-a2a-protocol/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/understanding-a2a-protocol/</guid><description>In-depth protocol explanation</description></item><item><title>Understanding Authorization in MCP</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/tutorials/security/authorization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/tutorials/security/authorization/</guid><description>Learn how to implement secure authorization for MCP servers using OAuth 2.1 to protect sensitive resources and operations</description></item><item><title>Understanding MCP clients</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/learn/client-concepts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/learn/client-concepts/</guid><description>&lt;p&gt;Most developers will build servers rather than clients, but understanding the client side is critical for grasping the full protocol flow. The key insight is that the client acts as a gatekeeper: it decides which server capabilities to expose to the model and enforces security boundaries. Pay attention to how capability negotiation works during initialization, since both sides must agree on what features they support before any real work happens.&lt;/p&gt;</description></item><item><title>Understanding MCP servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/learn/server-concepts/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/learn/server-concepts/</guid><description>&lt;p&gt;This page explains the three core primitives that MCP servers expose: Tools, Resources, and Prompts. Focus on understanding when to use each one &amp;ndash; Tools let the model take actions, Resources provide read-only data the model can pull in, and Prompts are reusable templates for common interactions. A frequent mistake is implementing everything as a tool when a resource would be more appropriate and give the host application more control over how data is presented to the model.&lt;/p&gt;</description></item><item><title>Understanding pod-based indexes</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/understanding-pod-based-indexes/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/indexes/pods/understanding-pod-based-indexes/</guid><description>Learn about pod-based index architecture and types</description></item><item><title>Use an Assistant MCP server</title><link>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/mcp-server/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/guides/assistant/mcp-server/</guid><description>Connect AI agents to Pinecone Assistant via Model Context Protocol.</description></item><item><title>Versioning</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/versioning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/specification/versioning/</guid><description/></item><item><title>Versioning Published MCP Servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/versioning/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/registry/versioning/</guid><description>&lt;p&gt;Getting versioning right is essential for MCP server publishers because clients may pin to specific versions, and breaking changes without a major version bump will silently break downstream integrations. Pay close attention to how semantic versioning interacts with registry resolution rules and what happens when you publish a version that a client cannot upgrade to automatically. If you maintain servers consumed by multiple host applications, read this alongside the package types guide to understand how versioning constraints differ across package formats.&lt;/p&gt;</description></item><item><title>Vision Tool</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/visiontool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/ai-ml/visiontool/</guid><description>The &amp;lsquo;VisionTool&amp;rsquo; is designed to extract text from images.</description></item><item><title>Weaviate Vector Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/weaviatevectorsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/database-data/weaviatevectorsearchtool/</guid><description>The &amp;lsquo;WeaviateVectorSearchTool&amp;rsquo; is designed to search a Weaviate vector database for semantically similar documents using hybrid search.</description></item><item><title>Website RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/websitesearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/websitesearchtool/</guid><description>The &amp;lsquo;WebsiteSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a website.</description></item><item><title>What is the Model Context Protocol (MCP)?</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/getting-started/intro/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/docs/getting-started/intro/</guid><description>&lt;p&gt;This is the single best starting point for understanding MCP. Focus on the core value proposition: MCP standardizes how AI applications connect to external data and tools, replacing fragile one-off integrations with a shared protocol. Pay attention to the analogy with USB-C — MCP aims to be a universal connector between LLMs and the systems they need to interact with. The original page also covers building MCP Apps — interactive apps that run inside AI clients — via the &lt;a href="https://modelcontextprotocol.io/extensions/apps/overview"&gt;MCP Apps overview&lt;/a&gt;. Read this before diving into architecture or specification pages.&lt;/p&gt;</description></item><item><title>Working and Interest Groups</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/working-interest-groups/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/community/working-interest-groups/</guid><description>Learn about the two forms of collaborative groups within the Model Context Protocol&amp;rsquo;s governance structure - Working Groups and Interest Groups.</description></item><item><title>XML RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/xmlsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/file-document/xmlsearchtool/</guid><description>The &amp;lsquo;XMLSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a XML file.</description></item><item><title>YouTube Channel RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/youtubechannelsearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/youtubechannelsearchtool/</guid><description>The &amp;lsquo;YoutubeChannelSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a Youtube channel.</description></item><item><title>YouTube Video RAG Search</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/youtubevideosearchtool/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/tools/search-research/youtubevideosearchtool/</guid><description>The &amp;lsquo;YoutubeVideoSearchTool&amp;rsquo; is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a Youtube video.</description></item></channel></rss>