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Crawl4Claude

by dragomirweb
GitHub
Python
5
  • Apple
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Documentation Scraper & MCP Server

A comprehensive, domain-agnostic documentation scraping and AI integration toolkit. Scrape any documentation website, create structured databases, and integrate with Claude Desktop via MCP (Model Context Protocol) for seamless AI-powered documentation assistance.

🚀 Features

Core Functionality

  • 🌐 Universal Documentation Scraper: Works with any documentation website

  • 📊 Structured Database: SQLite database with full-text search capabilities

  • 🤖 MCP Server Integration: Native Claude Desktop integration via Model Context Protocol

  • 📝 LLM-Optimized Output: Ready-to-use context files for AI applications

  • ⚙️ Configuration-Driven: Single config file controls all settings

Advanced Tools

  • 🔍 Query Interface: Command-line tool for searching and analyzing scraped content

  • 🛠️ Debug Suite: Comprehensive debugging tools for testing and validation

  • 📋 Auto-Configuration: Automatic MCP setup file generation

  • 📈 Progress Tracking: Detailed logging and error handling

  • 💾 Resumable Crawls: Smart caching for interrupted crawls

📋 Prerequisites

  • Python 3.8 or higher

  • Internet connection

  • ~500MB free disk space per documentation site

🛠️ Quick Start

1. Installation

# Clone the repository git clone <repository-url> cd documentation-scraper # Install dependencies pip install -r requirements.txt

2. Configure Your Target

Edit config.py to set your documentation site:

SCRAPER_CONFIG = { "base_url": "https://docs.example.com/", # Your documentation site "output_dir": "docs_db", "max_pages": 200, # ... other settings }

3. Run the Scraper

python docs_scraper.py

4. Query Your Documentation

# Search for content python query_docs.py --search "tutorial" # Browse by section python query_docs.py --section "getting-started" # Get statistics python query_docs.py --stats

5. Set Up Claude Integration

# Generate MCP configuration files python utils/gen_mcp.py # Follow the instructions to add to Claude Desktop

🏗️ Project Structure

📁 documentation-scraper/ ├── 📄 config.py # Central configuration file ├── 🕷️ docs_scraper.py # Main scraper script ├── 🔍 query_docs.py # Query and analysis tool ├── 🤖 mcp_docs_server.py # MCP server for Claude integration ├── 📋 requirements.txt # Python dependencies ├── 📁 utils/ # Debug and utility tools │ ├── 🛠️ gen_mcp.py # Generate MCP config files │ ├── 🧪 debug_scraper.py # Test scraper functionality │ ├── 🔧 debug_mcp_server.py # Debug MCP server │ ├── 🎯 debug_mcp_client.py # Test MCP tools directly │ ├── 📡 debug_mcp_server_protocol.py # Test MCP via JSON-RPC │ └── 🌐 debug_site_content.py # Debug content extraction ├── 📁 docs_db/ # Generated documentation database │ ├── 📊 documentation.db # SQLite database │ ├── 📄 documentation.json # JSON export │ ├── 📋 scrape_summary.json # Statistics │ └── 📁 llm_context/ # LLM-ready context files └── 📁 mcp/ # Generated MCP configuration ├── 🔧 run_mcp_server.bat # Windows launcher script └── ⚙️ claude_mcp_config.json # Claude Desktop config

⚙️ Configuration

Main Configuration (config.py)

The entire system is controlled by a single configuration file:

# Basic scraping settings SCRAPER_CONFIG = { "base_url": "https://docs.example.com/", "output_dir": "docs_db", "max_depth": 3, "max_pages": 200, "delay_between_requests": 0.5, } # URL filtering rules URL_FILTER_CONFIG = { "skip_patterns": [r'/api/', r'\.pdf$'], "allowed_domains": ["docs.example.com"], } # MCP server settings MCP_CONFIG = { "server_name": "docs-server", "default_search_limit": 10, "max_search_limit": 50, }

Environment Overrides

You can override any setting with environment variables:

export DOCS_DB_PATH="/custom/path/documentation.db" export DOCS_BASE_URL="https://different-docs.com/" python mcp_docs_server.py

🤖 Claude Desktop Integration

Automatic Setup

  1. Generate configuration files:

    python utils/gen_mcp.py

  2. Copy the generated config to Claude Desktop:

    • Windows: %APPDATA%\Claude\claude_desktop_config.json

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  3. Restart Claude Desktop

Manual Setup

If you prefer manual setup, add this to your Claude Desktop config:

{ "mcpServers": { "docs": { "command": "python", "args": ["path/to/mcp_docs_server.py"], "cwd": "path/to/project", "env": { "DOCS_DB_PATH": "path/to/docs_db/documentation.db" } } } }

Available MCP Tools

Once connected, Claude can use these tools:

  • 🔍 search_documentation: Search for content across all documentation

  • 📚 get_documentation_sections: List all available sections

  • 📄 get_page_content: Get full content of specific pages

  • 🗂️ browse_section: Browse pages within a section

  • 📊 get_documentation_stats: Get database statistics

🔧 Command Line Tools

Documentation Scraper

# Basic scraping python docs_scraper.py # Override config settings python docs_scraper.py # Settings from config.py

Query Tool

# Search for content python query_docs.py --search "authentication guide" # Browse specific sections python query_docs.py --section "api-reference" # Get database statistics python query_docs.py --stats # List all sections python query_docs.py --list-sections # Export section to file python query_docs.py --export-section "tutorials" --format markdown > tutorials.md # Use custom database python query_docs.py --db "custom/path/docs.db" --search "example"

Debug Tools

# Test scraper functionality python utils/debug_scraper.py # Test MCP server python utils/debug_mcp_server.py # Test MCP tools directly python utils/debug_mcp_client.py # Test MCP protocol python utils/debug_mcp_server_protocol.py # Debug content extraction python utils/debug_site_content.py # Generate MCP config files python utils/gen_mcp.py

📊 Database Schema

Pages Table

CREATE TABLE pages ( id INTEGER PRIMARY KEY, url TEXT UNIQUE NOT NULL, title TEXT, content TEXT, markdown TEXT, word_count INTEGER, section TEXT, subsection TEXT, scraped_at TIMESTAMP, metadata TEXT );

Full-Text Search

-- Search using FTS5 SELECT * FROM pages_fts WHERE pages_fts MATCH 'your search term'; -- Or use the query tool python query_docs.py --search "your search term"

🎯 Example Use Cases

1. Documentation Analysis

# Get overview of documentation python query_docs.py --stats # Find all tutorial content python query_docs.py --search "tutorial guide example" # Export specific sections python query_docs.py --export-section "getting-started" > onboarding.md

2. AI Integration with Claude

# Once MCP is set up, ask Claude: # "Search the documentation for authentication examples" # "What sections are available in the documentation?" # "Show me the content for the API reference page"

3. Custom Applications

import sqlite3 # Connect to your scraped documentation conn = sqlite3.connect('docs_db/documentation.db') # Query for specific content results = conn.execute(""" SELECT title, url, markdown FROM pages WHERE section = 'tutorials' AND word_count > 500 ORDER BY word_count DESC """).fetchall() # Build your own tools on top of the structured data

🔍 Debugging and Testing

Test Scraper Before Full Run

python utils/debug_scraper.py

Validate Content Extraction

python utils/debug_site_content.py

Test MCP Integration

# Test server functionality python utils/debug_mcp_server.py # Test tools directly python utils/debug_mcp_client.py # Test JSON-RPC protocol python utils/debug_mcp_server_protocol.py

📈 Performance and Optimization

Scraping Performance

  • Start small: Use max_pages=50 for testing

  • Adjust depth: max_depth=2 covers most content efficiently

  • Rate limiting: Increase delay_between_requests if getting blocked

  • Caching: Enabled by default for resumable crawls

Database Performance

  • Full-text search: Automatic FTS5 index for fast searching

  • Indexing: Optimized indexes on URL and section columns

  • Word counts: Pre-calculated for quick statistics

MCP Performance

  • Configurable limits: Set appropriate search and section limits

  • Snippet length: Adjust snippet size for optimal response times

  • Connection pooling: Efficient database connections

🌐 Supported Documentation Sites

This scraper works with most documentation websites including:

  • Static sites: Hugo, Jekyll, MkDocs, Docusaurus

  • Documentation platforms: GitBook, Notion, Confluence

  • API docs: Swagger/OpenAPI documentation

  • Wiki-style: MediaWiki, TiddlyWiki

  • Custom sites: Any site with consistent HTML structure

Site-Specific Configuration

Customize URL filtering and content extraction for your target site:

URL_FILTER_CONFIG = { "skip_patterns": [ r'/api/', # Skip API endpoint docs r'/edit/', # Skip edit pages r'\.pdf$', # Skip PDF files ], "allowed_domains": ["docs.yoursite.com"], } CONTENT_FILTER_CONFIG = { "remove_patterns": [ r'Edit this page.*?\n', # Remove edit links r'Was this helpful\?.*?\n', # Remove feedback sections ], }

🤝 Contributing

We welcome contributions! Here are some areas where you can help:

  • New export formats: PDF, EPUB, Word documents

  • Enhanced content filtering: Better noise removal

  • Additional debug tools: More comprehensive testing

  • Documentation: Improve guides and examples

  • Performance optimizations: Faster scraping and querying

⚠️ Responsible Usage

  • Respect robots.txt: Check the target site's robots.txt file

  • Rate limiting: Use appropriate delays between requests

  • Terms of service: Respect the documentation site's terms

  • Fair use: Use for educational, research, or personal purposes

  • Attribution: Credit the original documentation source

📄 License

This project is provided as-is for educational and research purposes. Please respect the terms of service and licensing of the documentation sites you scrape.

🎉 Getting Started Examples

Example 1: Scrape Python Documentation

# config.py SCRAPER_CONFIG = { "base_url": "https://docs.python.org/3/", "max_pages": 500, "max_depth": 3, }

Example 2: Scrape API Documentation

# config.py SCRAPER_CONFIG = { "base_url": "https://api-docs.example.com/", "max_pages": 200, } URL_FILTER_CONFIG = { "skip_patterns": [r'/changelog/', r'/releases/'], }

Example 3: Corporate Documentation

# config.py SCRAPER_CONFIG = { "base_url": "https://internal-docs.company.com/", "output_dir": "company_docs", } MCP_CONFIG = { "server_name": "company-docs-server", "docs_display_name": "Company Internal Docs", }

Happy Documenting! 📚✨

For questions, issues, or feature requests, please check the debug logs first, then create an issue with relevant details.

🙏 Attribution

This project is powered by Crawl4AI - an amazing open-source LLM-friendly web crawler and scraper.

Crawl4AI enables the intelligent web scraping capabilities that make this documentation toolkit possible. A huge thanks to @unclecode and the Crawl4AI community for building such an incredible tool! 🚀

Check out Crawl4AI:

📄 License

This server cannot be installed

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How are these scores calculated?

local-only server

The server can only run on the client's local machine because it depends on local resources.

A comprehensive, domain-agnostic documentation scraping and AI integration toolkit. Scrape any documentation website, create structured databases, and integrate with Claude Desktop via MCP (Model Context Protocol) for seamless AI-powered documentation assistance.

  1. 🚀 Features
    1. Core Functionality
    2. Advanced Tools
  2. 📋 Prerequisites
    1. 🛠️ Quick Start
      1. 1. Installation
      2. 2. Configure Your Target
      3. 3. Run the Scraper
      4. 4. Query Your Documentation
      5. 5. Set Up Claude Integration
    2. 🏗️ Project Structure
      1. ⚙️ Configuration
        1. Main Configuration (config.py)
        2. Environment Overrides
      2. 🤖 Claude Desktop Integration
        1. Automatic Setup
        2. Manual Setup
        3. Available MCP Tools
      3. 🔧 Command Line Tools
        1. Documentation Scraper
        2. Query Tool
        3. Debug Tools
      4. 📊 Database Schema
        1. Pages Table
        2. Full-Text Search
      5. 🎯 Example Use Cases
        1. 1. Documentation Analysis
        2. 2. AI Integration with Claude
        3. 3. Custom Applications
      6. 🔍 Debugging and Testing
        1. Test Scraper Before Full Run
        2. Validate Content Extraction
        3. Test MCP Integration
      7. 📈 Performance and Optimization
        1. Scraping Performance
        2. Database Performance
        3. MCP Performance
      8. 🌐 Supported Documentation Sites
        1. Site-Specific Configuration
      9. 🤝 Contributing
        1. ⚠️ Responsible Usage
          1. 📄 License
            1. 🎉 Getting Started Examples
              1. Example 1: Scrape Python Documentation
              2. Example 2: Scrape API Documentation
              3. Example 3: Corporate Documentation
            2. 🙏 Attribution
              1. 📄 License

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