{
  "markdown": "# Deep Research MCP\n\nAn [MCP](https://modelcontextprotocol.io) 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).\n\n## Tools\n\n| Tool | What it does |\n|------|--------------|\n| `web_search` | Search the web → ranked `{title, url, snippet}`. |\n| `read_url` | Fetch a URL → main content as clean Markdown. |\n| `deep_research` | Search → read the top N sources in parallel → a citation-ready dossier. |\n\n## Install\n\n### Claude Desktop / Cursor / Windsurf\n\nAdd to your MCP config (`claude_desktop_config.json`, Cursor `mcp.json`, etc.):\n\n```json\n{\n  \"mcpServers\": {\n    \"deep-research\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"deep-research-mcp-server\"]\n    }\n  }\n}\n```\n\nThen ask your agent: *\"Use deep_research to compare the top open-source vector databases in 2026 and summarize with citations.\"*\n\n## Why this over Tavily / Firecrawl?\n\n- **No API key** — search and page-reading run locally; your agent supplies the intelligence.\n- **Agentic** — `deep_research` orchestrates multi-source reading and returns a citation-ready dossier, not a single page.\n- **Free & open** — MIT licensed, `npx` and go.\n\n## Notes\n\n- Uses public metasearch (SearXNG) with a DuckDuckGo fallback; very fresh pages may not be indexed yet.\n- Some sites block automated fetches; `deep_research` skips failed sources and reports how many it read.\n\n---\n\nAlso available as a hosted Apify Actor: [apify.com/renzomacar/deep-research-mcp](https://apify.com/renzomacar/deep-research-mcp). Built by [Renzo Madueño](https://github.com/Perufitlife).\n",
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  "repo_slug": "perufitlife/deep-research-mcp-server",
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}