awesome-mcp: awesome-mcp is a curated repository of resources centered on the Model Context Protocol (MCP) — tools, libraries, research papers, open-source projects, and tutorials. Maintained by the AI-in-Transportation Lab with an associated arXiv survey paper, it collects over 100 MCP-related papers and implementations covering LangGraph architectures, custom tool routers, model-control interfaces, and retrieval-augmented generation pipelines. Primarily a research and discovery resource rather than an installable tool.; MCP-Chinese-Getting-Started-Guide: This guide provides a rapid introduction to the Model Context Protocol (MCP), an open-source protocol standardizing LLM interactions with external data and tools. It demonstrates building and debugging MCP servers, developing MCP clients for LLMs like DeepSeek, and integrating with Claude Desktop.
Discovering cutting-edge MCP research papers and implementations
Enhancing LLMs with real-time web search capabilities