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Ihor-Sokoliuk/MCP-SearXNG

by Various

MCP Server for SearXNG

I

MCP

Ihor-Sokoliuk/MCP-SearXNG

Added 1 June 2026

#ai #llm #llm-agent #mcp #mcp-server #mcp-servers #mcp-tools #search

Overview

An MCP (Model Context Protocol) server that connects AI agents to SearXNG, a self-hosted metasearch engine. It enables AI tools to perform web searches through SearXNG, returning aggregated results from multiple search sources. Built in TypeScript, it provides a standardized interface for AI models to query the web without relying on proprietary search APIs.

Best for

Best for
Developers building AI agents that need private, self-hosted web search without relying on third-party APIs

Use cases

  • Integrate privacy-focused web search into AI assistants or chatbots
  • Enable AI agents to retrieve real-time information from multiple search engines via a single endpoint
  • Build custom search workflows for AI tools using a self-hosted SearXNG instance

Notes

An MCP (Model Context Protocol) server that connects AI agents to SearXNG, a self-hosted metasearch engine. It enables AI tools to perform web searches through SearXNG, returning aggregated results from multiple search sources. Built in TypeScript, it provides a standardized interface for AI models to query the web without relying on proprietary search APIs.

836 stars on GitHub. Last updated 2026-05-25. Licensed MIT.

Use cases

  • Integrate privacy-focused web search into AI assistants or chatbots
  • Enable AI agents to retrieve real-time information from multiple search engines via a single endpoint
  • Build custom search workflows for AI tools using a self-hosted SearXNG instance

Pros

  • Open source and self-hosted, giving full control over search privacy and data
  • Well-maintained with 836 GitHub stars and active community
  • Written in TypeScript, offering type safety and easy integration with Node.js projects

Cons

  • Requires a running SearXNG instance, adding setup and maintenance overhead
  • Search quality depends on SearXNG configuration and upstream search engines
  • Limited to SearXNG’s capabilities; no direct access to proprietary search APIs

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source and self-hosted, giving full control over search privacy and data
  • Well-maintained with 836 GitHub stars and active community
  • Written in TypeScript, offering type safety and easy integration with Node.js projects

Cons

  • Requires a running SearXNG instance, adding setup and maintenance overhead
  • Search quality depends on SearXNG configuration and upstream search engines
  • Limited to SearXNG's capabilities; no direct access to proprietary search APIs