The crawl4ai MCP server provides local developers with efficient internet search and content retrieval for LLMs. It exposes tools to fetch web content, parse HTML, and extract structured data. It connects to web APIs and search engines. Developers use it to build AI agents that need to retrieve and process web data without consuming excessive tokens.
The crawl4ai MCP server provides local developers with efficient internet search and content retrieval for LLMs. It exposes tools to fetch web content, parse HTML, and extract structured data. It connects to web APIs and search engines. Developers use it to build AI agents that need to retrieve and process web data without consuming excessive tokens.
pip install crawl4ai-mcp-serverAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"weidwonder-crawl4ai-mcp-server-github": {
"command": "uvx",
"args": [
"pip install crawl4ai-mcp-server"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from crawl4ai?"
API Key Required
This server requires an API key from crawl4ai. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| CRAWL4AI_API_KEY | Yes | Your crawl4ai API key |
"What resources are available in crawl4ai?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in crawl4ai"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in crawl4ai with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.