MCP Boxfirecrawl-mcp-server
Updated at 15 days ago
by mendableai
320
on GitHub
Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.
Tags
batch-processing
claude
content-extraction
data-collection
firecrawl
firecrawl-ai
javascript-rendering
llm-tools
mcp-server
model-context-protocol
search-api
web-crawler
web-scraping
What is Firecrawl MCP Server
Firecrawl MCP Server is a Message Consumer Provider (MCP) server that enables real-time web crawling. It's designed to facilitate the extraction of information from websites and provide that data to downstream consumers efficiently. It's intended to work within the Firecrawl ecosystem.
How to use
The README focuses on setting up and running the server using Docker and Docker Compose.
- Clone the repository:
git clone https://github.com/mendableai/firecrawl-mcp-server.git - Navigate to the directory:
cd firecrawl-mcp-server - Start the server:
docker-compose up
This will build and start the necessary containers (likely including the server itself and any required database dependencies). The README doesn't provide specific API endpoints or client-side usage information. It assumes familiarity with Docker and Docker Compose.
Key features
- Real-time Web Crawling: The core function is to enable near-instantaneous crawling of websites.
- Message Consumer Provider: Acts as a server to provide crawled data to consumers in a message-driven fashion. (Details about the specific message queueing or consumer mechanism are not specified).
- Dockerized Deployment: Easy setup and deployment using Docker and Docker Compose.
- Scalability: While not explicitly mentioned, the design suggests the ability to scale the crawling process, likely through multiple instances or worker nodes.
- Configuration via Environment Variables: Uses environment variables (as demonstrated in the
docker-compose.ymlfile) for configuration.
Use cases
- Real-time Data Aggregation: Gathering data from various websites for immediate analysis and use.
- Monitoring Website Changes: Tracking changes to specific websites for alerts and notifications.
- Content Enrichment: Enhancing existing data with information scraped from the web.
- Building Real-time Search Indexes: Quickly indexing website content for search applications.
FAQ
- What are the system requirements? The primary requirement is Docker and Docker Compose. Specific resource requirements depend on the scale of crawling.
- How do I configure the server? Configuration is primarily done through environment variables. See the
docker-compose.ymlfile for examples. - How do I access the crawled data? This information is not detailed in the README. It would depend on the specific messaging system and consumer implementation used with the MCP. You need a consumer application set up to receive the messages produced by the server.
- How can I scale the crawling process? While not explicitly stated, you could likely scale the server horizontally by running multiple instances behind a load balancer.
- What kind of error handling is in place? The README doesn't provide details about error handling or monitoring.
- What is the architecture of this system? The README file only shows the basic docker compose setup. The architecture behind the Firecrawl MCP Server is not provided in the document.