LangChain/GitHub/mpcdoc

• langchain-ai/mcpdoc GitHub Repository

  • Setup

    • 1 - Test MCP server out locally

      • uvx --from mcpdoc mcpdoc \
            --urls "LangGraph:https://langchain-ai.github.io/langgraph/llms.txt" "LangChain:https://python.langchain.com/llms.txt" \
            --transport sse \
            --port 8082 \
            --host localhost

      • Sample run

        • uvx --from mcpdoc mcpdoc \
              --urls "LangGraph:https://langchain-ai.github.io/langgraph/llms.txt" "LangChain:https://python.langchain.com/llms.txt" \
              --transport sse \
              --port 8082 \
              --host localhost
          Installed 32 packages in 27ms
          
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          Launching MCPDOC server with 2 doc sources
          INFO:     Started server process [52524]
          INFO:     Waiting for application startup.
          INFO:     Application startup complete.
          INFO:     Uvicorn running on http://localhost:8082 (Press CTRL+C to quit)

      • 1.1 - Use MCP/Inspector to view the connection and test it out

        • npx @modelcontextprotocol/inspector

        • Sample Run

          • npx @modelcontextprotocol/inspector
            
            Need to install the following packages:
            @modelcontextprotocol/inspector@0.8.2
            Ok to proceed? (y) y
            
            Starting MCP inspector...
            ⚙️ Proxy server listening on port 6277
            🔍 MCP Inspector is up and running at http://127.0.0.1:6274 🚀

        • Go to http://127.0.0.1:6274 and then click on Tools and click through to test out list_doc_sources and fetch_docs

    • 2 - set up CursorAI/Settings/MCP

      • My Notes
        • instructions in the source are very clear; only thing that surprised me a bit was using CursorAI/Rule/User instead of CursorAI/Project Rules