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mcp-crawl4ai-ts

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TypeScript MCP server for Crawl4AI - web crawling and content extraction

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# MCP Server for Crawl4AI [![npm version](https://img.shields.io/npm/v/mcp-crawl4ai-ts.svg)](https://www.npmjs.com/package/mcp-crawl4ai-ts) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Node.js CI](https://img.shields.io/badge/Node.js-18+-green.svg)](https://nodejs.org/) [![coverage](https://img.shields.io/endpoint?url=https%3A%2F%2Fgist.githubusercontent.com%2Fomgwtfwow%2Fe2abffb0deb25afa2bf9185f440dae81%2Fraw%2Fcoverage.json&cacheSeconds=300)](https://omgwtfwow.github.io/mcp-crawl4ai-ts/coverage/) TypeScript implementation of an MCP server for Crawl4AI. Provides tools for web crawling, content extraction, and browser automation. ## Table of Contents - [Prerequisites](#prerequisites) - [Quick Start](#quick-start) - [Configuration](#configuration) - [Client-Specific Instructions](#client-specific-instructions) - [Available Tools](#available-tools) - [1. get_markdown](#1-get_markdown---extract-content-as-markdown-with-filtering) - [2. capture_screenshot](#2-capture_screenshot---capture-webpage-screenshot) - [3. generate_pdf](#3-generate_pdf---convert-webpage-to-pdf) - [4. execute_js](#4-execute_js---execute-javascript-and-get-return-values) - [5. batch_crawl](#5-batch_crawl---crawl-multiple-urls-concurrently) - [6. smart_crawl](#6-smart_crawl---auto-detect-and-handle-different-content-types) - [7. get_html](#7-get_html---get-sanitized-html-for-analysis) - [8. extract_links](#8-extract_links---extract-and-categorize-page-links) - [9. crawl_recursive](#9-crawl_recursive---deep-crawl-website-following-links) - [10. parse_sitemap](#10-parse_sitemap---extract-urls-from-xml-sitemaps) - [11. crawl](#11-crawl---advanced-web-crawling-with-full-configuration) - [12. create_session](#12-create_session---create-persistent-browser-session) - [13. clear_session](#13-clear_session---remove-session-from-tracking) - [14. list_sessions](#14-list_sessions---list-tracked-browser-sessions) - [15. extract_with_llm](#15-extract_with_llm---extract-structured-data-using-ai) - [Advanced Configuration](#advanced-configuration) - [Development](#development) - [License](#license) ## Prerequisites - Node.js 18+ and npm - A running Crawl4AI server ## Quick Start ### 1. Start the Crawl4AI server (for example, local docker) ```bash docker run -d -p 11235:11235 --name crawl4ai --shm-size=1g unclecode/crawl4ai:0.7.2 ``` > **Note:** Tested with Crawl4AI version 0.7.2 ### 2. Add to your MCP client This MCP server works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, LMStudio, etc.). #### Using npx (Recommended) ```json { "mcpServers": { "crawl4ai": { "command": "npx", "args": ["mcp-crawl4ai-ts"], "env": { "CRAWL4AI_BASE_URL": "http://localhost:11235" } } } } ``` #### Using local installation ```json { "mcpServers": { "crawl4ai": { "command": "node", "args": ["/path/to/mcp-crawl4ai-ts/dist/index.js"], "env": { "CRAWL4AI_BASE_URL": "http://localhost:11235" } } } } ``` #### With all optional variables ```json { "mcpServers": { "crawl4ai": { "command": "npx", "args": ["mcp-crawl4ai-ts"], "env": { "CRAWL4AI_BASE_URL": "http://localhost:11235", "CRAWL4AI_API_KEY": "your-api-key", "SERVER_NAME": "custom-name", "SERVER_VERSION": "1.0.0" } } } } ``` ## Configuration ### Environment Variables ```env # Required CRAWL4AI_BASE_URL=http://localhost:11235 # Optional - Server Configuration CRAWL4AI_API_KEY= # If your server requires auth SERVER_NAME=crawl4ai-mcp # Custom name for the MCP server SERVER_VERSION=1.0.0 # Custom version ``` ## Client-Specific Instructions ### Claude Desktop Add to `~/Library/Application Support/Claude/claude_desktop_config.json` ### Claude Code ```bash claude mcp add crawl4ai -e CRAWL4AI_BASE_URL=http://localhost:11235 -- npx mcp-crawl4ai-ts ``` ### Other MCP Clients Consult your client's documentation for MCP server configuration. The key details: - **Command**: `npx mcp-crawl4ai-ts` or `node /path/to/dist/index.js` - **Required env**: `CRAWL4AI_BASE_URL` - **Optional env**: `CRAWL4AI_API_KEY`, `SERVER_NAME`, `SERVER_VERSION` ## Available Tools ### 1. `get_markdown` - Extract content as markdown with filtering ```typescript { url: string, // Required: URL to extract markdown from filter?: 'raw'|'fit'|'bm25'|'llm', // Filter type (default: 'fit') query?: string, // Query for bm25/llm filters cache?: string // Cache-bust parameter (default: '0') } ``` Extracts content as markdown with various filtering options. Use 'bm25' or 'llm' filters with a query for specific content extraction. ### 2. `capture_screenshot` - Capture webpage screenshot ```typescript { url: string, // Required: URL to capture screenshot_wait_for?: number // Seconds to wait before screenshot (default: 2) } ``` Returns base64-encoded PNG. Note: This is stateless - for screenshots after JS execution, use `crawl` with `screenshot: true`. ### 3. `generate_pdf` - Convert webpage to PDF ```typescript { url: string // Required: URL to convert to PDF } ``` Returns base64-encoded PDF. Stateless tool - for PDFs after JS execution, use `crawl` with `pdf: true`. ### 4. `execute_js` - Execute JavaScript and get return values ```typescript { url: string, // Required: URL to load scripts: string | string[] // Required: JavaScript to execute } ``` Executes JavaScript and returns results. Each script can use 'return' to get values back. Stateless - for persistent JS execution use `crawl` with `js_code`. ### 5. `batch_crawl` - Crawl multiple URLs concurrently ```typescript { urls: string[], // Required: List of URLs to crawl max_concurrent?: number, // Parallel request limit (default: 5) remove_images?: boolean, // Remove images from output (default: false) bypass_cache?: boolean // Bypass cache for all URLs (default: false) } ``` Efficiently crawls multiple URLs in parallel. Each URL gets a fresh browser instance. ### 6. `smart_crawl` - Auto-detect and handle different content types ```typescript { url: string, // Required: URL to crawl max_depth?: number, // Maximum depth for recursive crawling (default: 2) follow_links?: boolean, // Follow links in content (default: true) bypass_cache?: boolean // Bypass cache (default: false) } ``` Intelligently detects content type (HTML/sitemap/RSS) and processes accordingly. ### 7. `get_html` - Get sanitized HTML for analysis ```typescript { url: string // Required: URL to extract HTML from } ``` Returns preprocessed HTML optimized for structure analysis. Use for building schemas or analyzing patterns. ### 8. `extract_links` - Extract and categorize page links ```typescript { url: string, // Required: URL to extract links from categorize?: boolean // Group by type (default: true) } ``` Extracts all links and groups them by type: internal, external, social media, documents, images. ### 9. `crawl_recursive` - Deep crawl website following links ```typescript { url: string, // Required: Starting URL max_depth?: number, // Maximum depth to crawl (default: 3) max_pages?: number, // Maximum pages to crawl (default: 50) include_pattern?: string, // Regex pattern for URLs to include exclude_pattern?: string // Regex pattern for URLs to exclude } ``` Crawls a website following internal links up to specified depth. Returns content from all discovered pages. ### 10. `parse_sitemap` - Extract URLs from XML sitemaps ```typescript { url: string, // Required: Sitemap URL (e.g., /sitemap.xml) filter_pattern?: string // Optional: Regex pattern to filter URLs } ``` Extracts all URLs from XML sitemaps. Supports regex filtering for specific URL patterns. ### 11. `crawl` - Advanced web crawling with full configuration ```typescript { url: string, // URL to crawl // Browser Configuration browser_type?: 'chromium'|'firefox'|'webkit', // Browser engine viewport_width?: number, // Browser width (default: 1080) viewport_height?: number, // Browser height (default: 600) user_agent?: string, // Custom user agent proxy_server?: string, // Proxy URL proxy_username?: string, // Proxy auth proxy_password?: string, // Proxy password cookies?: Array<{name, value, domain}>, // Pre-set cookies headers?: Record<string,string>, // Custom headers // Crawler Configuration word_count_threshold?: number, // Min words per block (default: 200) excluded_tags?: string[], // HTML tags to exclude remove_overlay_elements?: boolean, // Remove popups/modals js_code?: string | string[], // JavaScript to execute wait_for?: string, // Wait condition (selector or JS) wait_for_timeout?: number, // Wait timeout (default: 30000) delay_before_scroll?: number, // Pre-scroll delay scroll_delay?: number, // Between-scroll delay process_iframes?: boolean, // Include iframe content exclude_external_links?: boolean, // Remove external links screenshot?: boolean, // Capture screenshot pdf?: boolean, // Generate PDF session_id?: string, // Reuse browser session (only works with crawl tool) cache_mode?: 'ENABLED'|'BYPASS'|'DISABLED', // Cache control extraction_type?: 'llm', // Only 'llm' extraction is supported via REST API extraction_schema?: object, // Schema for structured extraction extraction_instruction?: string, // Natural language extraction prompt timeout?: number, // Overall timeout (default: 60000) verbose?: boolean // Detailed logging } ``` ### 12. `create_session` - Create persistent browser session ```typescript { session_id?: string, // Optional: Custom ID (auto-generated if not provided) initial_url?: string, // Optional: URL to load when creating session browser_type?: 'chromium'|'firefox'|'webkit' // Optional: Browser engine (default: 'chromium') } ``` Creates a persistent browser session for maintaining state across multiple requests. Returns the session_id for use with the `crawl` tool. **Important**: Only the `crawl` tool supports session_id. Other tools are stateless and create new browsers each time. ### 13. `clear_session` - Remove session from tracking ```typescript { session_id: string } ``` Removes session from local tracking. Note: The actual browser session on the server persists until timeout. ### 14. `list_sessions` - List tracked browser sessions ```typescript {} // No parameters required ``` Returns all locally tracked sessions with creation time, last used time, and initial URL. Note: These are session references - actual server state may differ. ### 15. `extract_with_llm` - Extract structured data using AI ```typescript { url: string, // URL to extract data from query: string // Natural language extraction instructions } ``` Uses AI to extract structured data from webpages. Returns results immediately without any polling or job management. This is the recommended way to extract specific information since CSS/XPath extraction is not supported via the REST API. ## Advanced Configuration For detailed information about all available configuration options, extraction strategies, and advanced features, please refer to the official Crawl4AI documentation: - [Crawl4AI Documentation](https://docs.crawl4ai.com/) - [Crawl4AI GitHub Repository](https://github.com/unclecode/crawl4ai) ## Changelog See [CHANGELOG.md](CHANGELOG.md) for detailed version history and recent updates. ## Development ### Setup ```bash # 1. Start the Crawl4AI server docker run -d -p 11235:11235 --name crawl4ai --shm-size=1g unclecode/crawl4ai:latest # 2. Install MCP server git clone https://github.com/omgwtfwow/mcp-crawl4ai-ts.git cd mcp-crawl4ai-ts npm install cp .env.example .env # 3. Development commands npm run dev # Development mode npm test # Run tests npm run lint # Check code quality npm run build # Production build # 4. Add to your MCP client (See "Using local installation") ``` ### Running Integration Tests Integration tests require a running Crawl4AI server. Configure your environment: ```bash # Required for integration tests export CRAWL4AI_BASE_URL=http://localhost:11235 export CRAWL4AI_API_KEY=your-api-key # If authentication is required # Optional: For LLM extraction tests export LLM_PROVIDER=openai/gpt-4o-mini export LLM_API_TOKEN=your-llm-api-key export LLM_BASE_URL=https://api.openai.com/v1 # If using custom endpoint # Run integration tests npm run test:integration ``` Integration tests cover: - Dynamic content and JavaScript execution - Session management and cookies - Content extraction (LLM-based only) - Media handling (screenshots, PDFs) - Performance and caching - Content filtering - Bot detection avoidance - Error handling ## License MIT