Deep Research MCP Server
Provides web search capabilities using DuckDuckGo's search engine.
Provides metasearch capabilities using public SearXNG instances.
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 |
| Search the web → ranked |
| Fetch a URL → main content as clean Markdown. |
| Search → read the top N sources in parallel → a citation-ready dossier. |
Related MCP server: browse-ai
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.
This server cannot be installed
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