MCP: Brave Search
by Brave
Search the web with the Brave Search API — web, image, video, and news results plus rich results and AI summaries.
Private, self-hosted web search for AI assistants via SearXNG, with pagination, filters, and URL-to-markdown reading.
Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.
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.
by Brave
Search the web with the Brave Search API — web, image, video, and news results plus rich results and AI summaries.
by Kagi
Official Kagi MCP server: ad-free web, news, video and image search plus page extraction as markdown, via hosted or local setup.
by Perplexity
Ask Perplexity's Sonar API real-time, web-grounded questions and get cited answers inside your agent.
by Tavily
Web search and content extraction optimized for AI agents — fast, relevance-ranked results with source content.