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io.github.Perufitlife/deep-research-mcp-server

Official registry Search and web

Web search, clean page reading & one-call research dossiers for AI agents. No API key.

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package deep-research-mcp-server
Claude Code 
claude mcp add deep-research-mcp-server -- npx -y deep-research-mcp-server@1.0.2
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "deep-research-mcp-server": {
            "command": "npx",
            "args": [
                "-y",
                "deep-research-mcp-server@1.0.2"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Deep Research MCP
  2. Tools
  3. Install
  4. Why this over Tavily / Firecrawl?
  5. Notes

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.

Frequently asked questions

What is io.github.Perufitlife/deep-research-mcp-server?

Web search, clean page reading & one-call research dossiers for AI agents. No API key.

How do I install io.github.Perufitlife/deep-research-mcp-server?

It runs on your machine. In Claude Code: claude mcp add deep-research-mcp-server -- npx -y deep-research-mcp-server@1.0.2. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.Perufitlife/deep-research-mcp-server need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.Perufitlife/deep-research-mcp-server open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains io.github.Perufitlife/deep-research-mcp-server?

It is published by Perufitlife. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.