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React Learning MCP Server

by kenta-ja8
GitHub
Python
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learning-react-mcp

  • minimal MCP server that pre-scrapes React learning docs into DuckDB
  • hybrid search using DuckDB full-text search and transformer-based reranking

Dev

uv sync uv run main_setup.py uv run main.py

Test

# initialize request {"jsonrpc":"2.0","id":0,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"manual-cli","version":"1.0.0"}}} {"jsonrpc":"2.0","method":"notifications/initialized"} {"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}} {"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"search","arguments":{"question":"CSSにについて教えて"}}} # response -> {"jsonrpc":"2.0","id":1,"result":{"content":[{"type":"text","text":"概要引用符で文字列を渡す 波括弧は JavaScript 世界への窓口 波括弧を使える場所 「ダブル波括弧」で JSX 内に CSS やその他のオブジェクトを含める オブジェクトと波括弧でさらにいろいろやってみる まとめチャレンジ問題"}],"isError":false}}

Setup

  • vscode settings.json
"react-learning-mcp":{ "command": "bash", "args": [ "-c", "cd {{REPOSITORY_PATH}} && uv run main.py" ] }

Reference

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How are these scores calculated?

A minimal MCP server that enables searching through pre-scraped React documentation using a hybrid approach combining DuckDB full-text search and transformer-based reranking.

  1. Dev
    1. Test
      1. Setup
        1. Reference

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