MkDocs MCP Search Server

A Model Context Protocol (MCP) server that provides search functionality for any MkDocs powered site. This server relies on the existing MkDocs search implementation using the Lunr.Js search engine.

Claude Desktop Quickstart

Follow the installation instructions please follow the Model Context Protocol Quickstart For Claude Desktop users. You will need to add a section tothe MCP configuration file as follows:

{
  "mcpServers": {
    "my-docs": {
      "command": "npx",
      "args": [
        "-y",
        "@serverless-dna/mkdocs-mcp",
        "https://your-doc-site",
        "Describe what you are enabling search for to help your AI Agent"
      ]
    }
  }
}

Overview

This project implements an MCP server that enables Large Language Models (LLMs) to search through any published mkdocs documentation site. It uses lunr.js for efficient local search capabilities and provides results that can be summarized and presented to users.

Features

• MCP-compliant server for integration with LLMs
• Local search using lunr.js indexes
• Version-specific documentation search capability

Installation

# Install dependencies
pnpm install

# Build the project
pnpm build

Usage

The server can be run as an MCP server that communicates over stdio:

npx -y @serverless-dna/mkdocs-mcp https://your-doc-site.com

Search Tool

The server provides a search_docs tool with the following parameters:

• search: The search query string
• version: Optional version string (defaults to 'latest')

Development

Building

pnpm build

Testing

pnpm test

Claude Desktop MCP Configuration

During development you can run the MCP Server with Claude Desktop using the following configuration.

The configuration below shows running in windows claude desktop while developing using the Windows Subsystem for Linux (WSL). Mac or Linux environments you can run in a similar way.

The output is a bundled file which enables Node installed in windows to run the MCP server since all dependencies are bundled.

{
  "mcpServers": {
    "powertools": {
	"command": "node",
	"args": [
	  "\\\\wsl$\\Ubuntu\\home\\walmsles\\dev\\serverless-dna\\mkdocs-mcp\\dist\\index.js",
    "Search online documentation"
	]
    }
  }
}

How It Works

1. The server loads pre-built lunr.js indexes for each supported runtime
2. When a search request is received, it:
   • Loads the appropriate index based on version (currently fixed to latest)
   • Performs the search using lunr.js
   • Returns the search results as JSON
3. The LLM can then use these results to find relevant documentation pages

License

MIT

Shared threads will appear here, showcasing real-world applications and insights from the community. Check back soon for updates!