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Search the web via SearXNG and fetch readable public web pages.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "xngmcp" yet — see the docs or source repo.
Use web_search to look up “best practices for vector databases in RAG” and list the top 5 relevant results with titles and links.
A list of relevant search results including titles and links.
Use web_fetch to retrieve the readable main content of this public page and extract 3 key takeaways: https://example.com/article
A readable summary of the page content with key takeaways.
First use web_search to find “EU AI Act official guidance,” then use web_fetch on the most relevant public page and summarize the core requirements.
Candidate search results first, followed by a readable summary of the selected page.
Researchers or students can search for public web sources on a topic and then fetch the readable content of specific pages. This combines discovery and page retrieval in one workflow.
Product managers can use it to find industry information, competitor pages, or official documentation, then fetch readable public page content for quick review. It fits workflows that require searching first and reading next.
Developers can connect this MCP server to an MCP-compatible AI client so the model can call web_search and web_fetch for public web information. It is useful for assistants that need both discovery and readable page access.
It is an MCP server that provides two tools: web_search and web_fetch. It supports web search through SearXNG and fetching readable content from public web pages.
Based on the description, it fetches readable public pages. For support of other page types or special sites, see the source repository.
It is known to be an MCP server and uses SearXNG for web search. For installation, runtime, and configuration details, see the source repository.
Enable self-hosted deep web research for AI agents without API keys.
Run privacy-friendly web searches across multiple engines and content categories.
Enable AI to search the web through aggregated SearXNG results.
Search a self-hosted SearXNG instance and get structured web results.
Integrates SearXNG search with pagination, filters, and URL content extraction.
Add web search, page fetch, rendering, and transcript lookup to MCP clients.