MCP for Docs
Automatically downloads and converts documentation from various sources into organized markdown files.
mcp-for-docs
An MCP (Model Context Protocol) server that automatically downloads and converts documentation from various sources into organized markdown files.
Overview
mcp-for-docs is designed to crawl documentation websites, convert their content to markdown format, and organize them in a structured directory system. It can also generate condensed cheat sheets from the downloaded documentation.
Features
- 🕷️ Smart Documentation Crawler: Automatically crawls documentation sites with configurable depth
- 📝 HTML to Markdown Conversion: Preserves code blocks, tables, and formatting
- 📁 Automatic Categorization: Intelligently organizes docs into tools/APIs categories
- 📄 Cheat Sheet Generator: Creates condensed reference guides from documentation
- 🔍 Smart Discovery System: Automatically detects existing documentation before crawling
- 🚀 Local-First: Uses existing downloaded docs when available
- ⚡ Rate Limiting: Respects server limits and robots.txt
- ✅ User Confirmation: Prevents accidental regeneration of existing content
- ⚙️ Comprehensive Configuration: JSON-based configuration with environment variable overrides
- 🧪 Test Suite: 94 tests covering core functionality
Installation
Prerequisites
- Node.js 18+
- npm or yarn
- Claude Desktop or Claude Code CLI
Setup
- Clone the repository:
git clone https://github.com/shayonpal/mcp-for-docs.git
cd mcp-for-docs
- Install dependencies:
npm install
- Build the project:
npm run build
- Add to your MCP configuration:
For Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"mcp-for-docs": {
"command": "node",
"args": ["/path/to/mcp-for-docs/dist/index.js"],
"env": {}
}
}
}
For Claude Code CLI (~/.claude.json):
{
"mcpServers": {
"mcp-for-docs": {
"command": "node",
"args": ["/path/to/mcp-for-docs/dist/index.js"],
"env": {}
}
}
}
Usage
Crawling Documentation
To download documentation from a website:
await crawl_documentation({
url: "https://docs.n8n.io/",
max_depth: 3, // Optional, defaults to 3
force_refresh: false // Optional, set to true to regenerate existing docs
});
The tool will first check for existing documentation and show you what's already available. To regenerate existing content, use force_refresh: true.
The documentation will be saved to:
- Tools:
/Users/shayon/DevProjects/~meta/docs/tools/[tool-name]/ - APIs:
/Users/shayon/DevProjects/~meta/docs/apis/[api-name]/
Generating Cheat Sheets
To create a cheat sheet from documentation:
await generate_cheatsheet({
url: "https://docs.anthropic.com/",
use_local: true, // Use local files if available (default)
force_regenerate: false // Optional, set to true to regenerate existing cheatsheets
});
Cheat sheets are saved to: /Users/shayon/DevProjects/~meta/docs/cheatsheets/
The tool will check for existing cheatsheets and show you what's already available. To regenerate existing content, use force_regenerate: true.
Listing Downloaded Documentation
To see what documentation is available locally:
await list_documentation({
category: "all", // Options: "tools", "apis", "all"
include_stats: true
});
Supported Documentation Sites
The server has been tested with:
- n8n documentation
- Anthropic API docs
- Obsidian Tasks plugin docs
- Apple Swift documentation
Most documentation sites following standard patterns should work automatically.
Recent Updates
- Configuration System (v0.4.0): Added comprehensive JSON-based configuration with environment variable support
- Smart Discovery: Automatically finds and reports existing documentation before crawling
- Improved Conversion: Fixed HTML to Markdown issues including table formatting and inline code preservation
- Dynamic Categorization: Intelligent detection of tools vs APIs based on URL patterns and content analysis
- Test Coverage: 94 tests passing with comprehensive unit and integration testing
For detailed changes, see CHANGELOG.md.
Configuration
Initial Setup
- Copy the example configuration:
cp config.example.json config.json
- Edit
config.jsonand update thedocsBasePathfor your machine:
{
"docsBasePath": "/Users/yourusername/path/to/docs"
}
Important: The config.json file is tracked in git. When you clone this repository on a different machine, you'll need to update the docsBasePath to match that machine's directory structure.
How Documentation Organization Works
The tool automatically organizes documentation based on content analysis:
- You provide a URL when calling the tool (e.g.,
https://docs.n8n.io) - The categorizer analyzes the content and determines if it's:
tools/- Software tools, applications, pluginsapis/- API references, SDK documentation
- Documentation is saved to:
{docsBasePath}/{category}/{tool-name}/
For example:
https://docs.n8n.io→/Users/shayon/DevProjects/~meta/docs/tools/n8n/https://docs.anthropic.com→/Users/shayon/DevProjects/~meta/docs/apis/anthropic/
This happens automatically - you don't need to configure anything per-site!
Configuration Options
| Setting | Description | Default |
|---|---|---|
docsBasePath | Where to store all documentation | Required - no default |
crawler.defaultMaxDepth | How many levels deep to crawl | 3 |
crawler.defaultRateLimit | Requests per second | 2 |
crawler.pageTimeout | Page load timeout (ms) | 30000 |
crawler.userAgent | Browser identification | MCP-for-docs/1.0 |
cheatsheet.maxLength | Max characters in cheatsheet | 10000 |
cheatsheet.filenameSuffix | Append to cheatsheet names | -Cheatsheet.md |
Multi-Machine Setup
Since config.json is tracked in git:
- First machine: Set your
docsBasePathand commit - Other machines: After cloning, update
docsBasePathto match that machine - Use environment variable to override without changing the file:
export DOCS_BASE_PATH="/different/path/on/this/machine"
Development
# Install dependencies
npm install
# Run in development mode
npm run dev
# Run tests
npm test
# Build for production
npm run build
# Lint code
npm run lint
Architecture
- Crawler: Uses Playwright for JavaScript-rendered pages
- Parser: Extracts content using configurable selectors
- Converter: Turndown library with custom rules for markdown
- Categorizer: Smart detection of tools vs APIs
- Storage: Organized file system structure
Known Issues
- URL Structure Preservation (#15): Currently flattens URL structure when saving docs
- Large Documentation Sites (#14): No document limit for very large sites
- GitHub Repository Docs (#9): Specialized crawler for GitHub repos not yet implemented
See all open issues for the complete roadmap.
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Update CHANGELOG.md
- Submit a pull request
License
This project is licensed under the GPL 3.0 License - see the LICENSE file for details.
Acknowledgments
- Built with the Model Context Protocol SDK
- Uses Playwright for web scraping
- Markdown conversion powered by Turndown
Похожие серверы
Scout Monitoring MCP
спонсорPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
спонсорAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
ocireg
An SSE-based MCP server that allows LLM-powered applications to interact with OCI registries. It provides tools for retrieving information about container images, listing tags, and more.
Swagger/OpenAPI MCP Server
Explore and interact with Swagger/OpenAPI specifications, allowing for browsing endpoints and retrieving details on API operations.
Bloomfilter
Let AI agents search, register, and manage domains via API
Cashfree MCP Server
Integrate AI tools and agents with Cashfree's Payment Gateway, Payouts, and SecureID APIs.
MCP Rust CLI server template
A Rust template for creating MCP CLI servers, with support for JSON-based prompts, resources, and tools.
Website Generator MCP
An example MCP server designed for deployment on Cloudflare Workers, supporting both remote and local setups.
LastSaaS
SaaS boilerplate / starter kit: comprehensive, Stripe billing, product management, multi-tenant; agentic controls via MCP
Feature Discussion
An AI-powered server that facilitates feature discussions between developers and AI, acting as a lead developer to guide implementation and architectural decisions.
Gaffer.sh
CI Memory For Agents and Teams
MCP_Agent:RE
Fetches requirements and defect data from the TAPD platform to provide data support for AI clients.