SecretiveShell/MCP-searxng
by Various
MCP server for connecting agentic systems to search systems via searXNG
MCP
SecretiveShell/MCP-searxng
Added 1 June 2026
Overview
SecretiveShell/MCP-searxng is an open-source MCP (Model Context Protocol) server written in Python that connects AI agents to the searXNG meta search engine. It exposes search functionality as standardized tools, allowing agents to retrieve web results from a configurable searXNG instance.
Best for
Best for
Developers building autonomous agents or tools that need web search without relying on proprietary APIs
Use cases
- Give an AI agent the ability to search the web for current information
- Replace paid search APIs with a self-hosted, privacy-respecting backend
- Add real-time data retrieval to LLM-powered workflows and applications
Notes
SecretiveShell/MCP-searxng is an open-source MCP (Model Context Protocol) server written in Python that connects AI agents to the searXNG meta search engine. It exposes search functionality as standardized tools, allowing agents to retrieve web results from a configurable searXNG instance.
118 stars on GitHub. Last updated 2026-05-29. Licensed MIT.
Use cases
- Give an AI agent the ability to search the web for current information
- Replace paid search APIs with a self-hosted, privacy-respecting backend
- Add real-time data retrieval to LLM-powered workflows and applications
Pros
- Free and open source, no usage fees or tokens
- Uses the MCP standard so it works with any compatible agent framework
- Self-hosting via searXNG gives control over privacy and search sources
Cons
- Requires setting up and maintaining a working searXNG instance
- Search quality and speed depend on searXNG’s upstream aggregators
- Small community (118 stars) means limited documentation and support
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Free and open source, no usage fees or tokens
- Uses the MCP standard so it works with any compatible agent framework
- Self-hosting via searXNG gives control over privacy and search sources
Cons
- Requires setting up and maintaining a working searXNG instance
- Search quality and speed depend on searXNG's upstream aggregators
- Small community (118 stars) means limited documentation and support
Pairs with
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