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Web search, clean page reading & one-call research dossiers for AI agents. No API key.
About
Web search, clean page reading & one-call research dossiers for AI agents. No API key.
Security Report
Valid MCP server (2 strong, 3 medium validity signals). 2 known CVEs in dependencies (0 critical, 2 high severity) Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
4 files analyzed · 3 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-perufitlife-deep-research-mcp-server": {
"args": [
"-y",
"deep-research-mcp-server"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub 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
| 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.
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