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Docs MCP Server

@arabold

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基本情報

カテゴリ

メモリとナレッジ

ライセンス

MIT

トランスポート

stdio

作者

arabold

投稿者

Andre Rabold

Docs MCP Server について

Grounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools

Docs MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "docs-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@arabold/docs-mcp-server"
      ],
      "env": {
        "OPENAI_API_KEY": "sk-proj-..."
      },
      "autoApprove": []
    }
  }
}

Docs MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Docs MCP Server?

Docs MCP Server solves AI hallucinations and outdated knowledge by providing a personal, always-current documentation index for your AI coding assistant. It fetches official docs from websites, GitHub, npm, PyPI, and local files, allowing your AI to query the exact version you are using. It is an open-source alternative to Context7, Nia, and Ref.Tools.

How to use Docs MCP Server?

Install Node.js 22+ and use CLI commands: npx @arabold/docs-mcp-server@latest scrape <name> <url> to index docs, search <name> <query> to query, and fetch-url <url> to get a single page. For a long-running MCP endpoint, start the server with npx @arabold/docs-mcp-server@latest, open the Web UI at http://localhost:6280, and connect your MCP client (e.g., Claude, Cline) via SSE configuration. Optionally enable an embedding model (e.g., OpenAI, Ollama) to improve search quality.

Key features of Docs MCP Server

  • Up-to-date context fetched from official sources on demand
  • Version-specific queries target exact library versions
  • Reduces LLM hallucinations by grounding in real docs
  • Runs entirely locally; code never leaves your network
  • Works with any MCP-compatible client (Claude, Cline, etc.)
  • Supports websites, GitHub, npm, PyPI, local files, and zip archives

Use cases of Docs MCP Server

  • Querying the exact version of a library used in your project
  • Reducing hallucinations in AI coding assistant responses
  • Indexing private or local documentation alongside public sources
  • Searching across multiple documentation sources from one interface

よくある質問

1

What sources does Docs MCP Server support?

It fetches documentation from websites, GitHub repositories, npm, PyPI, local files, and zip archives. It processes HTML, Markdown, PDF, Office documents, and 90+ source code languages.

2

Does Docs MCP Server require an internet connection?

It fetches documentation on demand from official sources, so internet access is needed for remote sources. The server runs entirely on your machine; your code never leaves your network.

3

How do I configure embedding models?

Set environment variables like `OPENAI_API_KEY` to enable embeddings. Supported providers include OpenAI, Ollama, Gemini, and Azure. See the Embedding Models guide in the documentation.

4

Does Docs MCP Server support hash-routed SPA documentation sites?

Yes, use the `--preserve-hashes` flag (CLI) or `preserveHashes: true` (MCP tool) for sites that route with URLs like `#/guide`. This automatically upgrades the scraper to use Playwright.

5

What is the license for Docs MCP Server?

It is licensed under the MIT License. See the LICENSE file for details.

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