MCP Servers

Deep Research MCP Server

Web search, clean page reading & one-call research dossiers for AI agents. No API key — your agent does the synthesis.

Category

README

Deep Research MCP

An MCP server that gives Claude, Cursor, or any AI agent real web-research skills — web search, clean-Markdown page reading, and one-call research dossiers — with no OpenAI / Perplexity / Tavily key required. Your agent is the LLM, so it does the synthesis; this server does the hard part (finding sources, fetching them, and stripping pages down to clean, LLM-ready Markdown).

Tools

Tool	What it does
`web_search`	Search the web → ranked `{title, url, snippet}`.
`read_url`	Fetch a URL → main content as clean Markdown.
`deep_research`	Search → read the top N sources in parallel → a citation-ready dossier.

Install

Claude Desktop / Cursor / Windsurf

Add to your MCP config (claude_desktop_config.json, Cursor mcp.json, etc.):

{
  "mcpServers": {
    "deep-research": {
      "command": "npx",
      "args": ["-y", "deep-research-mcp-server"]
    }
  }
}

Then ask your agent: "Use deep_research to compare the top open-source vector databases in 2026 and summarize with citations."

Why this over Tavily / Firecrawl?

No API key — search and page-reading run locally; your agent supplies the intelligence.
Agentic — deep_research orchestrates multi-source reading and returns a citation-ready dossier, not a single page.
Free & open — MIT licensed, npx and go.

Notes

Uses public metasearch (SearXNG) with a DuckDuckGo fallback; very fresh pages may not be indexed yet.
Some sites block automated fetches; deep_research skips failed sources and reports how many it read.

Also available as a hosted Apify Actor: apify.com/renzomacar/deep-research-mcp. Built by Renzo Madueño.

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