mcp-for-beginners and mcptools
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 mcptools
posit-dev/mcptools
Model Context Protocol For R
Implements bidirectional Model Context Protocol communication: R can expose functions as tools to MCP clients (Claude Desktop, Copilot) via `mcp_server()` to execute code in live R sessions, or consume third-party MCP servers (GitHub, Google Drive, Confluence) as tools in ellmer chats via `mcp_tools()`. Uses stdio transport to connect MCP-enabled applications with R sessions, enabling AI assistants to access live workspace context and call arbitrary R functions while integrating external tools into R-based chat applications.
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