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deep-research-mcp-server

deep-research-mcp-server

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github.com/PerufitlifeSearch0Updated 19w ago
Repository

About deep-research-mcp-server

deep-research-mcp-server is an MCP server for agents that need web research. It searches the web, extracts pages as clean Markdown, and can assemble multi-source, citation-ready dossiers without requiring an API key.

Key features

  1. 01Ranked web search
  2. 02Extract page content as Markdown
  3. 03Parallel multi-source research
  4. 04Citation-ready dossiers

Use cases

  1. 01Find sources for a research question
  2. 02Read a web page for an agent
  3. 03Compile cited research from multiple pages

MCP support

It exposes web_search, read_url, and deep_research tools to MCP clients. The server uses public SearXNG metasearch with a DuckDuckGo fallback.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "perufitlife-deep-research": {
      "command": "npx",
      "args": [
        "-y",
        "deep-research-mcp-server"
      ]
    }
  }
}
Run commandnpx -y deep-research-mcp-server

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmdeep-research-mcp-server1.0.2

Tools

3

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
querystringYesThe search query.
maxResultsintegerNoMax results (1-20).

Details

From the project 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

ToolWhat it does
web_searchSearch the web → ranked {title, url, snippet}.
read_urlFetch a URL → main content as clean Markdown.
deep_researchSearch → 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.

Comments

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