SearXNG
Empowers AI agents with privacy-respecting search capabilities by integrating SearXNG with the Model Context Protocol (MCP) server.
About
This project provides a template for building an MCP server that leverages SearXNG to enable AI agents to perform web searches with privacy. Following Anthropic's best practices, it seamlessly integrates with any MCP-compatible client. It offers flexibility with SSE and Stdio transports, and containerized deployment via Docker, providing a foundation for building more complex MCP servers by adding custom tools, lifespan functions, prompts, and resources.
Key Features
- Provides an MCP server template following Anthropic's best practices.
- 2 GitHub stars
- Supports both SSE and Stdio transport protocols.
- Offers Docker-based deployment for containerized environments.
- Integrates SearXNG with MCP for AI agent search functionality.
- Includes configuration options for customizing SearXNG integration.
Use Cases
- Providing AI agents with web search capabilities.
- Building custom MCP servers with SearXNG as a backend.
- Integrating SearXNG search functionality into MCP-compatible clients.
Sponsored