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#ai #search #mcp #self-hosting

MCP-SearXNG

MCP-SearXNG is a Model Context Protocol server that connects AI agents to your self-hosted SearXNG instance. It allows language models to perform web searches through your private search engine rather than relying on external APIs or cloud services.

The integration means AI tools can search the web while respecting your privacy. Instead of sending queries to Google or Bing directly, the AI uses your SearXNG instance as a proxy. Your search history stays on your server, your IP address isn't exposed to search engines, and you maintain control over what data leaves your network.

Model Context Protocol

MCP is a standard for connecting AI models to external tools and data sources. Instead of each AI tool implementing its own integrations, MCP provides a common protocol that works across different models and applications. A tool that supports MCP can use any MCP server, creating an ecosystem of interoperable capabilities.

MCP-SearXNG implements this protocol for web search. Any AI tool that supports MCP can use it to search the web through your SearXNG instance. This works with Goose CLI, various AI agents, and other tools that implement the MCP standard. You configure the connection once, and all your AI tools can use it.

When AI agents need to search the web for information, they typically use commercial search APIs that log queries and build profiles. MCP-SearXNG routes those searches through your own infrastructure instead. The AI gets the information it needs, but your queries don't contribute to corporate data collection.

This is particularly valuable for AI-powered research and analysis. When you ask an AI to research a topic, it might perform dozens of searches to gather information. With MCP-SearXNG, all those searches go through your private search engine. The AI gets better results (SearXNG aggregates multiple sources), and you maintain privacy throughout the research process.

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