Crawl4AI
Createdweidwonder
Empowers local developers with efficient internet search and content retrieval for Large Language Models, saving tokens.
About
Crawl4AI is an intelligent information retrieval server based on the Model Context Protocol (MCP), providing powerful search capabilities and LLM-optimized web content understanding for AI assistant systems. Through multi-engine search and intelligent content extraction, it helps AI systems efficiently acquire and understand internet information, converting web content into the most suitable format for LLM processing.
Key Features
- Powerful multi-engine search capabilities, supporting DuckDuckGo and Google.
- Supports multiple output formats, enabling citation traceability.
- Focuses on information value, automatically identifying and retaining key content.
- LLM-optimized web content extraction, intelligently filtering non-core content.
- High-performance asynchronous design based on FastMCP.
Use Cases
- Automating the process of extracting relevant information from web pages for use in AI models.
- Enhancing LLM context with up-to-date information from the web.
- Providing AI assistants with the ability to answer questions based on current search results.