mendableai/firecrawl-mcp-server
Firecrawl Mcp Server
This project is a Model Context Protocol server that connects large language models to web scraping and crawling tools. It functions as a bridge, allowing LLM clients to utilize a web crawling engine and scraping utilities to extract and process web data.
The server integrates a markdown web converter that transforms dynamic web pages and PDF documents into clean markdown to optimize consumption by AI models. It also provides a browser automation interface for controlling headless sessions and bypassing access restrictions.
The system covers broad capabilities including large-scale website discovery, schema-based structured data extraction, and autonomous web research. It also supports browser automation workflows, real-time crawl streaming, and automated web monitoring to detect content changes.
Features
- Model Context Protocol Integrations - Implements the Model Context Protocol to expose web scraping and crawling tools to AI clients like Claude and Cursor.
- Web Crawling - Recursively discovers and extracts website data into structured formats to make content accessible for AI processing.
- LLM Integration Gateways - Acts as a protocol bridge connecting LLM clients to web scraping and crawling tools via the Model Context Protocol.
- Autonomous Web Agents - Implements autonomous AI agents capable of searching and navigating the web to achieve complex goals.
- Autonomous Web Researchers - Uses AI agents to search and navigate the internet to gather detailed information and synthesize reports.
- Autonomous Data Gathering - Firecrawl uses AI to autonomously navigate the web and gather specific datasets without predefined URLs.
- Model Context Protocol Servers - Implements a Model Context Protocol server to expose web scraping and crawling capabilities to AI models.
- Web Content Extractions - Converts complex websites and documents into clean markdown or structured JSON for AI processing.
- HTML to Markdown Converters - Transforms dynamic HTML and PDF content into clean markdown to optimize token efficiency for LLMs.
- Web-to-Markdown Conversions - Processes URLs to generate clean markdown representations of web pages optimized for LLM consumption.
- PDF to Markdown Conversion - Parses PDF documents and transforms them into structured markdown while preserving tabular data.
- Web Page Markdown Converters - Transforms dynamic web pages and PDF documents into clean markdown optimized for LLM consumption.
- Web Search APIs - Performs web searches and retrieves full page content of the results in any format.
- Web Data Scraping - Extracts clean content or structured data from individual URLs into formats like markdown, HTML, or JSON.
- Web Scraping Tools - Extracts structured data, markdown, and metadata from websites for use in AI applications.
- Browser Interactions - Allows users to manipulate web elements and navigate pages using natural language or code.
- Remote Browser Controllers - Provides a programmatic interface to control headless browser sessions for JavaScript rendering and interaction.
- Browser-Based Workflows - Executes interactive browser sessions to perform tasks like clicking buttons and filling forms via natural language.
- AI-Driven Schema Extractions - Uses JSON schemas and LLMs to extract structured data from unstructured web content.
- Browser Automation Interfaces - Provides a programmatic interface for controlling headless browser sessions to bypass access restrictions.
- Web Crawling - Recursively discovers and maps website URLs to generate large datasets for AI training and research.
- AI Agent Skills - Exposes discoverable skills that enable AI agents to perform complex web scraping and crawling tasks.
- AI-Powered Data Extractors - Transforms basic identifiers into comprehensive datasets using AI-powered web scraping.
- Natural Language Querying - Allows users to query specific webpage content using natural language prompts.
- Localized Web Content Retrieval - Uses geographic proxies to retrieve location-specific web content and bypass regional restrictions.
- Lead Extraction - Automates the collection and filtering of contact information from websites for sales pipelines.
- PDF Text Extraction - Converts PDF files into raw text using fast extraction and OCR for scanned images.
- Batch Page Scraping - Retrieves content from multiple URLs in parallel using automatic rate limiting.
- Lead Enrichment - Extracts company details and contact information from business directories to populate CRM records.
- Crawl Data Streaming - Delivers page data in real-time via websockets or webhooks as it is discovered during a crawl.
- Search Result Extraction - Retrieves full-page markdown or screenshots for search results in a single operation.
- Web Page Metadata Extractors - Extracts specific HTML attributes and structured metadata from web pages for use in AI applications.
- Website Structure Mapping - Discovers a comprehensive list of URLs from a website using sitemaps and search results.
- Browser-Context Script Executions - Enables execution of custom JavaScript within the browser context for granular DOM interaction.
- Semantic Content Analysis - Analyzes changed pages against plain-language goals to determine if modifications are semantically meaningful.
- Sandboxed Browser Runtimes - Runs browser workflows within isolated sandboxes to bypass bot detections and handle rendering.
- Browser Session Streams - Streams a real-time visual view of the remote browser session for observation and debugging.
- Asynchronous Agent Job Execution - Manages long-running crawl tasks asynchronously via job identifiers and completion polling.
- Web Change Monitors - Tracks URLs on a schedule and notifies users when content is added or modified.
- Website Content Monitoring - Tracks specific websites and provides notifications when meaningful content updates occur.
- DOM Element Filtering - Provides the ability to isolate specific DOM nodes using CSS selectors to remove boilerplate and extract targeted content.
- Chrome DevTools Protocols - Exposes a WebSocket interface based on the Chrome DevTools Protocol for live browser control.
- Browser Automation - Advanced web scraping with JavaScript rendering support.
