Crawl4AI RAG MCP Server
by Anshumaan031
This MCP server provides web crawling and RAG capabilities for AI agents and AI coding assistants. It allows you to scrape any website and use that knowledge for RAG.
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What is Crawl4AI RAG MCP Server?
This MCP server is a powerful implementation of the Model Context Protocol (MCP) integrated with Crawl4AI and Supabase. It enables AI agents to crawl websites, store content in a vector database, and perform RAG over the crawled content.
How to use Crawl4AI RAG MCP Server?
To use this server, you need to install it using Docker or uv, set up the database with the pgvector extension in Supabase, configure the environment variables, and then run the server. You can then integrate it with MCP clients using SSE or Stdio configurations.
Key features of Crawl4AI RAG MCP Server
Smart URL Detection
Recursive Crawling
Parallel Processing
Content Chunking
Vector Search
Source Retrieval
Use cases of Crawl4AI RAG MCP Server
Providing AI agents with up-to-date information from the web
Enabling AI coding assistants to access relevant documentation
Building knowledge bases from crawled content
Improving the accuracy of AI models with external data
FAQ from Crawl4AI RAG MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standard for communication between AI models and external tools.
What is Crawl4AI?
What is Crawl4AI?
Crawl4AI is a service that provides web crawling capabilities.
What is Supabase?
What is Supabase?
Supabase is an open-source Firebase alternative that provides a database, authentication, and other services.
What is RAG?
What is RAG?
RAG stands for Retrieval-Augmented Generation, a technique for improving the accuracy of AI models by retrieving relevant information from a knowledge base.
How do I configure the server?
How do I configure the server?
You need to create a .env file with the necessary configuration variables, including the OpenAI API key, Supabase URL, and Supabase service key.