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Search via SearXNG, fan out pages, and read URLs as Markdown.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.burakaydinofficial/searxng-deepdive" MCP server from askskill: Run: claude mcp add 'io-github-burakaydinofficial-searxng-deepdive' -- npx -y searxng-deepdive
Use SearXNG to search for "best practices for local LLM deployment" only on selected search engines, and return the most relevant results with sources.
A result list based on the selected engines, including titles, links, and source information.
Run a multi-page search for "open-source metasearch engine comparison," summarize results from the first several pages, and remove obvious duplicates.
A consolidated list spanning multiple pages of results for further review and analysis.
Read this webpage URL and convert the HTML content to Markdown, keeping the main body so I can summarize it further.
Structured Markdown output suitable for AI summarization or citation.
When researchers need to quickly gather public web sources around a topic, they can use it to query SearXNG with engine targeting and multi-page expansion. This helps with early-stage discovery and source organization.
When an AI workflow needs to summarize, extract, or cite webpage content, it can first convert a URL from HTML to Markdown. This is often easier for downstream models than handling raw webpage structure.
Developers integrating search into an MCP environment can use this tool for querying, multi-page fanout, and webpage reading. It fits agent workflows that need public web retrieval in a longer chain.
It is an MCP server for SearXNG. Based on the description, it supports search engine targeting, multi-page search fanout, and converting HTML content from a URL into Markdown.
In addition to search, it also supports URL reading and converts HTML into Markdown. That means it can both find webpages and help read their main content afterward.
The provided material does not include installation steps, runtime requirements, or key information. For prerequisites and deployment details, see the source repository.
Integrates SearXNG search with pagination, filters, and URL content extraction.
Search the web privately with pagination and direct URL content reading.
Perform privacy-respecting web, news, and image searches through SearXNG.
Run privacy-friendly web search and crawl pages for structured content extraction.
Conduct iterative deep web research, parsing, and synthesis through MCP clients.
Connect SearXNG for privacy-focused web search with structured results for AI agents.