Crawl4AI
Establishes a connection and provides a standardized protocol for interacting with a Crawl4AI Docker API server.
About
The Crawl4AI Model Context Protocol (MCP) Server serves as a vital bridge, enabling seamless integration and communication with your Crawl4AI Docker API server. It abstracts the complexities of direct API interaction by providing a standardized protocol, making it easier for client applications to leverage Crawl4AI's capabilities for AI model context. The server is configurable through environment variables, allowing customization of the Crawl4AI server URL, API authentication tokens, and the MCP server's listening port, ensuring flexible deployment and secure access.
Key Features
- Connects to Crawl4AI Docker API server
- Supports Streamable HTTP and Server-Sent Events (SSE)
- Configurable via environment variables for URL, API token, and port
- Compatible with Node.js 18+
- 1 GitHub stars
Use Cases
- Integrating client applications with a Crawl4AI backend
- Providing a standardized interface for AI context retrieval from Crawl4AI
- Facilitating secure and configurable access to Crawl4AI services
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