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-use: mcp-use is a full-stack framework for Model Context Protocol (MCP), enabling the creation of MCP servers, clients, and AI agents. It supports development in both Python and TypeScript with minimal code.
Discovering cutting-edge MCP research papers and implementations
Building intelligent AI agents capable of using tools and reasoning across steps