mcp-for-beginners and mcp_explained
These are complements—the comprehensive multi-language curriculum (A) provides foundational theory and patterns across ecosystems, while the focused Python implementation guide (B) offers hands-on code examples for learning MCP integration specifically with Claude AI.
About mcp-for-beginners
microsoft/mcp-for-beginners
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
The curriculum covers foundational MCP concepts like resource definitions, tool invocation patterns, and prompt templates across real-world server implementations. It emphasizes hands-on learning with code-along examples that demonstrate client-server communication via JSON-RPC over stdio transport, progressing from basic protocol mechanics to advanced patterns like dynamic resource discovery and error handling. The material aligns with the MCP specification (2025-11-25) and integrates with AI platforms like Claude, providing practical guidance on connecting MCP servers to LLM applications for tool use and context management.
About mcp_explained
shashipk/mcp_explained
Learn MCP (Model Context Protocol) through working Python code — what it is, why it's needed, and how it works with Claude AI
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