<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mcp on AI Knowledge Base</title><link>https://learn-ai.blindshot.kz/topics/mcp/</link><description>Recent content in Mcp on AI Knowledge Base</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://learn-ai.blindshot.kz/topics/mcp/index.xml" rel="self" type="application/rss+xml"/><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>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>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></channel></rss>