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.