Official Hugging Face MCP server: search models, datasets, Spaces and papers on the Hub, read repository files, and call Gradio apps as agent tools.
SearXNG MCP Server
Summary
Private, self-hosted web search for AI assistants via SearXNG, with pagination, filters, and URL-to-markdown reading.
Features
- searxng_web_search with pagination, time filters, language and safe-search
- searxng_search_suggestions for autocomplete-style query refinement
- searxng_instance_info to inspect available engines/categories
- web_url_read fetches and converts a page to markdown
Installation
Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.
Description
This server bridges any MCP client to a self-hosted SearXNG meta-search instance, giving agents privacy-respecting web search instead of relying on a vendor search API. It exposes four tools: searxng_web_search for querying with pagination, time-range, language, and safe-search controls; searxng_search_suggestions for autocomplete-style query refinement; searxng_instance_info to introspect which search engines and categories the connected SearXNG instance has enabled; and web_url_read, which fetches a URL and converts it to clean markdown so an agent can read a result page without a browser.
Because SearXNG aggregates dozens of underlying search engines without tracking, this is a good fit for teams or individuals who want search results without sending every query to a single third-party provider. It runs as a small stdio process that talks to a SearXNG deployment you already run, or connects to a Docker image, configured via a single SEARXNG_URL environment variable. It is one of the most established community search MCP servers, with hundreds of commits, OpenSSF badges, and over a thousand GitHub stars, making it a solid default recommendation for anyone standing up private web search for Claude, Cursor, or other MCP clients.
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