Docs MCP Server

Install

npx skillfoxx add mcp/grounded-docs-mcp-server

claude mcp add --transport stdio docs-mcp-server -- npx @arabold/docs-mcp-server@latest

{
  "mcpServers": {
    "docs-mcp-server": {
      "command": "npx",
      "args": [
        "@arabold/docs-mcp-server@latest"
      ]
    }
  }
}

{
  "mcpServers": {
    "docs-mcp-server": {
      "command": "npx",
      "args": [
        "@arabold/docs-mcp-server@latest"
      ]
    }
  }
}

code --add-mcp '{"name":"docs-mcp-server","type":"stdio","command":"npx","args":["@arabold/docs-mcp-server@latest"]}'

{
  "servers": {
    "docs-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "@arabold/docs-mcp-server@latest"
      ]
    }
  }
}

codex mcp add docs-mcp-server -- npx @arabold/docs-mcp-server@latest

[mcp_servers.docs-mcp-server]
command = "npx"
args = ["@arabold/docs-mcp-server@latest"]

gemini mcp add -s user docs-mcp-server npx @arabold/docs-mcp-server@latest

{
  "mcpServers": {
    "docs-mcp-server": {
      "command": "npx",
      "args": [
        "@arabold/docs-mcp-server@latest"
      ]
    }
  }
}

{
  "mcpServers": {
    "docs-mcp-server": {
      "command": "npx",
      "args": [
        "@arabold/docs-mcp-server@latest"
      ]
    }
  }
}

{
  "mcpServers": {
    "docs-mcp-server": {
      "command": "npx",
      "args": [
        "@arabold/docs-mcp-server@latest"
      ]
    }
  }
}

{
  "mcpServers": {
    "docs-mcp-server": {
      "command": "npx",
      "args": [
        "@arabold/docs-mcp-server@latest"
      ]
    }
  }
}

{
  "mcp": {
    "docs-mcp-server": {
      "type": "local",
      "command": [
        "npx",
        "@arabold/docs-mcp-server@latest"
      ]
    }
  }
}

{
  "context_servers": {
    "docs-mcp-server": {
      "command": "npx",
      "args": [
        "@arabold/docs-mcp-server@latest"
      ]
    }
  }
}

{
  "mcpServers": {
    "docs-mcp-server": {
      "command": "npx",
      "args": [
        "@arabold/docs-mcp-server@latest"
      ]
    }
  }
}

{
  "mcpServers": {
    "docs-mcp-server": {
      "command": "npx",
      "args": ["@arabold/docs-mcp-server@latest"]
    }
  }
}

This is third-party code. Review the repository files before installing.

What it does

The server collects documentation from external sources and local files into its own index on your machine, then serves search over it to the agent through MCP. Sources include websites, GitHub repositories, npm and PyPI packages, local folders and zip archives, and it reads not only HTML and Markdown but also PDF, office formats, EPUB, Jupyter notebooks and source code in many languages. A query can target a specific library version so answers rest on real docs rather than model memory. A web interface on port 6280 adds and manages sources, and a CLI indexes and searches from scripts. An optional embedding model enables semantic search.

Who it is for. For developers who want their AI assistant to answer from the current docs of their libraries and versions.

Example request

Index the React docs from react.dev and find the correct way to clean up an effect in useEffect

Limitations

The index and server run locally: you start and maintain them yourself. Running via npx needs Node.js 22 or newer, with a Docker image as an alternative. Without an embedding model search stays lexical; semantic search needs an OpenAI or other provider key, or a local model via Ollama. Sending text to OpenAI for embeddings goes to an external service.

How to disable. Stop the server process or the Docker container and remove the docs-mcp-server entry from your client's MCP config. The local index database can be deleted manually.

MCP

Transport

stdio, http, sse

Authentication

not required

Security check

• Runs a local server and scrapes the named external sites
• Indexes local folders and files, and with a provider key sends text out for embeddings

README in short

The README describes the server as an open alternative to Context7, Nia and Ref.Tools that fights outdated and hallucinated AI answers by providing an index of current docs. It pulls documents from websites, GitHub, npm, PyPI and local files and supports many formats, from PDF and office documents to source code. For agents and scripts the CLI is simplest: the scrape, search and fetch-url commands. For a persistent endpoint it runs a server with a web interface on port 6280, connected by Claude, Cline, Copilot, Gemini CLI and other MCP clients over stdio, http or sse. An embedding model is optional and improves search quality. MIT licensed.

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