Mcp-Servers on AI Knowledge Base

MCP Fundamentals

Mon, 01 Jan 0001 00:00:00 +0000

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.

By the end you’ll understand the MCP mental model well enough to evaluate MCP servers, build simple integrations, and read the specification confidently.

Claude Code Mastery

Mon, 01 Jan 0001 00:00:00 +0000

Master Claude Code from setup through advanced usage. Learn the configuration system, memory, hooks, MCP integration, and how to use it effectively for complex software engineering tasks.

The Agentic Protocol Stack

Mon, 01 Jan 0001 00:00:00 +0000

Understand the three open protocols forming the agentic AI communication stack:

MCP (agent-to-tool) — how agents use external tools and data
A2A (agent-to-agent) — how agents collaborate across platforms
AG-UI (agent-to-user) — how agents communicate with frontends

All three are converging under the Linux Foundation’s Agentic AI Foundation (AAIF). This path teaches you the architecture and practical usage of each layer.

Building MCP Servers

Mon, 01 Jan 0001 00:00:00 +0000

Learn to build production-quality MCP servers. This path takes you from a basic server implementation through transport selection, security, and publishing to the registry.

Prerequisites: Complete the MCP Fundamentals path first to understand the protocol architecture.

Agent SDK Deep Dive

Mon, 01 Jan 0001 00:00:00 +0000

Build custom AI agents with the Anthropic Agent SDK. Covers both TypeScript and Python SDKs, custom tools, MCP integration, sub-agents, streaming, and production deployment.

Prerequisites: Familiarity with the Claude API (complete Claude API Essentials first).

Access the W&B MCP Server

Mon, 01 Jan 0001 00:00:00 +0000

Connect your IDE or LLM application to W&B’s Model Context Protocol (MCP) server to provide your agent with access to your W&B workspace, data, and W&B’s documentation.

Build an MCP client

Mon, 01 Jan 0001 00:00:00 +0000

Get started building your own client that can integrate with all MCP servers.

Build an MCP server

Mon, 01 Jan 0001 00:00:00 +0000

Get started building your own server to use in Claude for Desktop and other clients.

Build with Agent Skills

Mon, 01 Jan 0001 00:00:00 +0000

Use agent skills to guide AI coding assistants through MCP server design and implementation

Building MCP servers for ChatGPT Apps and API integrations

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to build MCP servers for use with ChatGPT Apps, deep research, or API integrations.

Channels reference

Mon, 01 Jan 0001 00:00:00 +0000

Build an MCP server that pushes webhooks, alerts, and chat messages into a Claude Code session. Reference for the channel contract: capability declaration, notification events, reply tools, sender gating, and permission relay.

Configuration

Mon, 01 Jan 0001 00:00:00 +0000

Configure the Deep Agents CLI with config.toml, hooks, and MCP servers

Connect to local MCP servers

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to extend Claude Desktop with local MCP servers to enable file system access and other powerful integrations

Connect to remote MCP Servers

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect Claude to remote MCP servers and extend its capabilities with internet-hosted tools and data sources

Connecting to Multiple MCP Servers

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use MCPServerAdapter in CrewAI to connect to multiple MCP servers simultaneously and aggregate their tools.

Connectors and MCP servers

Mon, 01 Jan 0001 00:00:00 +0000

Use remote MCP servers and OpenAI-maintained connectors for popular services to give models new capabilities.

Create plugins

Mon, 01 Jan 0001 00:00:00 +0000

Create custom plugins to extend Claude Code with skills, agents, hooks, and MCP servers.

Custom MCP Servers

Mon, 01 Jan 0001 00:00:00 +0000

Connect your own MCP servers to CrewAI AMP with public access, API key authentication, or OAuth 2.0

Development Setup with Fireworks Docs MCP

Mon, 01 Jan 0001 00:00:00 +0000

Configure the Fireworks AI Docs MCP server for Claude Code and Cursor

LangSmith MCP Server

Mon, 01 Jan 0001 00:00:00 +0000

Use the Model Context Protocol (MCP) server to let language models fetch conversation history, prompts, runs, datasets, experiments, and billing from LangSmith.

Mcp Connector

Mon, 01 Jan 0001 00:00:00 +0000

The MCP Connector is the primary mechanism for giving Claude direct access to external tools and data sources through the Model Context Protocol within API calls. Focus on how connector configuration differs from local MCP server setup — the connector handles transport, authentication, and tool discovery on Anthropic’s infrastructure rather than your own. A common pitfall is neglecting to scope tool permissions tightly, which can lead to unexpected token consumption when Claude explores available tools. Read this alongside the remote MCP servers guide to understand the full picture of hosted versus self-managed MCP integrations.

MCP DSL Integration

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use CrewAI’s simple DSL syntax to integrate MCP servers directly with your agents using the mcps field.

MCP Security Considerations

Mon, 01 Jan 0001 00:00:00 +0000

Learn about important security best practices when integrating MCP servers with your CrewAI agents.

MCP Servers as Tools in CrewAI

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to integrate MCP servers as tools in your CrewAI agents using the crewai-tools library.

Model Context Protocol

Mon, 01 Jan 0001 00:00:00 +0000

Connect MCP servers so agents can request external data or actions through standardized tool APIs.

Model Context Protocol (MCP) and Weave

Mon, 01 Jan 0001 00:00:00 +0000

Trace activity between your MCP client and MCP server with Weave

Package Search MCP Server

Mon, 01 Jan 0001 00:00:00 +0000

Push events into a running session with channels

Mon, 01 Jan 0001 00:00:00 +0000

Use channels to push messages, alerts, and webhooks into your Claude Code session from an MCP server. Forward CI results, chat messages, and monitoring events so Claude can react while you’re away.

Quickstart: Publish an MCP Server to the MCP Registry

Mon, 01 Jan 0001 00:00:00 +0000

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.

Remote Mcp Servers

Mon, 01 Jan 0001 00:00:00 +0000

Remote MCP servers let you host tool endpoints that Claude connects to over the network, enabling shared infrastructure across teams and persistent service integrations. Pay close attention to the authentication and transport sections — remote servers use SSE or streamable HTTP rather than stdio, which changes how you handle connection lifecycle and error recovery. A frequent gotcha is failing to implement proper OAuth or token refresh flows, causing silent tool failures mid-conversation. This guide pairs well with the MCP Connector docs to compare Anthropic-hosted versus self-hosted approaches to serving tools.

Remote MCP servers

Mon, 01 Jan 0001 00:00:00 +0000

Connect Agent Builder to popular remote MCP servers

Remote MCP servers

Mon, 01 Jan 0001 00:00:00 +0000

Connect Fleet to popular remote MCP servers

Secure MCP Tunnel

Mon, 01 Jan 0001 00:00:00 +0000

Connect private or on-prem MCP servers to supported OpenAI products with an outbound-only MCP tunnel, without exposing them to the public internet.

Server Card Charter

Mon, 01 Jan 0001 00:00:00 +0000

Charter for the MCP Server Card Working Group.

SSE Transport

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect CrewAI to remote MCP servers using Server-Sent Events (SSE) for real-time communication.

Stdio Transport

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect CrewAI to local MCP servers using the Stdio (Standard Input/Output) transport mechanism.

Streamable HTTP Transport

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect CrewAI to remote MCP servers using the flexible Streamable HTTP transport.

Together AI MCP Server

Mon, 01 Jan 0001 00:00:00 +0000

Install our MCP server in Cursor, Claude Code, or OpenCode in 1 click.

Understanding Authorization in MCP

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to implement secure authorization for MCP servers using OAuth 2.1 to protect sensitive resources and operations

Understanding MCP servers

Mon, 01 Jan 0001 00:00:00 +0000

This page explains the three core primitives that MCP servers expose: Tools, Resources, and Prompts. Focus on understanding when to use each one – 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.

Use an Assistant MCP server

Mon, 01 Jan 0001 00:00:00 +0000

Connect AI agents to Pinecone Assistant via Model Context Protocol.

Use the Pinecone MCP server

Mon, 01 Jan 0001 00:00:00 +0000

Use Pinecone MCP server for AI agent integration.

Using tools

Mon, 01 Jan 0001 00:00:00 +0000

Extend model capabilities with tools — built-in (web search, file search, code interpreter) and custom (function calling, remote MCP servers).

Versioning Published MCP Servers

Mon, 01 Jan 0001 00:00:00 +0000

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.