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_researchorchestrates multi-source reading and returns a citation-ready dossier, not a single page. - Free & open — MIT licensed,
npxand go.
Notes
- Uses public metasearch (SearXNG) with a DuckDuckGo fallback; very fresh pages may not be indexed yet.
- Some sites block automated fetches;
deep_researchskips 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.