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docs-mcp-server MCP Server

@xinlei413

代码仓库

基本信息

分类

记忆与知识

许可证

MIT license

传输方式

stdio

作者

xinlei413

关于 docs-mcp-server MCP Server

暂无概览

#docs-mcp-server#documentation#mcp-server

docs-mcp-server MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "DOC-Server-MCP": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "\\"
      ]
    }
  }
}

docs-mcp-server MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is docs-mcp-server MCP Server?

docs-mcp-server MCP Server is a Model Context Protocol server that fetches, indexes, and searches third-party package documentation. It scrapes content from websites, GitHub, npm, PyPI, or local files, and stores it in a SQLite database with full-text search. It also integrates with OpenRouter API for large language model chat/completions.

How to use docs-mcp-server MCP Server?

Run the server via Docker (recommended) or npx, configured in your MCP client settings (e.g., Claude, Cline, Roo). Set the required OPENAI_API_KEY environment variable and optionally configure embedding models. The server exposes MCP tools for scraping, searching, and managing documentation. Use the CLI to manage the index directly.

Key features of docs-mcp-server MCP Server

  • Versatile scraping: websites, GitHub, npm, PyPI, or local files.
  • Intelligent semantic content splitting for indexing.
  • SQLite with FTS5 for robust full-text search.
  • Asynchronous job handling for scraping and indexing tasks.
  • OpenRouter API integration supporting many large language models.
  • Simple deployment via Docker or npx.

Use cases of docs-mcp-server MCP Server

  • Indexing documentation for libraries across multiple versions.
  • Performing hybrid search (vector + full-text) across package docs.
  • Using an AI assistant to query documentation from indexed packages.
  • Automating documentation updates with background job management.
  • Serving as a documentation retrieval tool within MCP‑enabled applications.

常见问题

1

How does docs-mcp-server MCP Server index documentation?

It scrapes content from specified URLs, splits it into meaningful chunks, and stores it in a SQLite database using FTS5 for full-text search. Vector embeddings are currently disabled.

2

What embedding providers are supported?

OpenAI, Google Vertex AI, Google Generative AI (Gemini), AWS Bedrock, and Azure OpenAI are supported via environment variables. However, embedding functionality is currently disabled and will throw errors.

3

Can I run docs-mcp-server MCP Server locally without Docker?

Yes, use npx: `npx -y --package=@arabold/docs-mcp-server docs-server`. Node.js must be installed, and the same method should be used for the CLI.

4

What environment variables are required?

`OPENAI_API_KEY` is required. Additional variables depend on the embedding provider (e.g., `AZURE_OPENAI_API_KEY`, `AWS_ACCESS_KEY_ID`, etc.). For OpenRouter chat, set `OPENAI_API_BASE` to the OpenRouter endpoint.

5

Does docs-mcp-server MCP Server support versioned documentation?

Yes, it supports storing and querying documentation for different library versions, including unversioned content, with distinct search capabilities.

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