Crawl4AI MCP Server
by weidwonder
Crawl4AI MCP Server is an intelligent information retrieval server based on MCP (Model Context Protocol). It provides powerful search capabilities and LLM-optimized web content understanding for AI assistant systems.
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What is Crawl4AI MCP Server?
Crawl4AI MCP Server is a server that provides AI assistant systems with powerful search capabilities and LLM-optimized web content understanding. It helps AI systems efficiently acquire and understand internet information by using multi-engine search and intelligent content extraction, converting web content into a format best suited for LLM processing.
How to use Crawl4AI MCP Server?
The server offers tools like 'search' for web searches using DuckDuckGo or Google, and 'read_url' for extracting and formatting web content for LLMs. Configuration involves cloning the repository, setting up a virtual environment, installing dependencies, and configuring API keys for Google search if needed. It can also be installed via Smithery.
Key features of Crawl4AI MCP Server
Powerful multi-engine search (DuckDuckGo, Google)
LLM-optimized web content extraction
Intelligent filtering of non-core content
Multiple output formats with citation support
High-performance asynchronous design based on FastMCP
Use cases of Crawl4AI MCP Server
Enhancing AI assistant knowledge retrieval
Providing context for LLM-based applications
Automated web content summarization for AI models
Building AI-powered search tools
Improving the accuracy and relevance of AI responses
FAQ from Crawl4AI MCP Server
What search engines are supported?
What search engines are supported?
The server supports DuckDuckGo (default) and Google search engines.
Do I need an API key to use the server?
Do I need an API key to use the server?
You only need an API key if you want to use the Google search engine. DuckDuckGo search does not require an API key.
What content formats are supported for read_url?
What content formats are supported for read_url?
The read_url tool supports various formats including markdown_with_citations, fit_markdown, raw_markdown, references_markdown, fit_html, and markdown.
How do I configure the Google API key?
How do I configure the Google API key?
You need to copy config_demo.json to config.json and then fill in the google.api_key and google.cse_id fields in the config.json file.
What is the purpose of LLM content optimization?
What is the purpose of LLM content optimization?
The server employs content optimization techniques to make web content more suitable for LLMs, including intelligent content identification, noise filtering, information integrity, and length optimization.