Deep Research MCP Server

What is Deep Research?

Deep Research is an open-source AI-powered tool that generates in-depth research reports in about two minutes. It supports multiple large language models and search engines, processes and stores all data locally in the browser to protect user privacy, and can be deployed on Vercel, Cloudflare, Docker, or as a static site.

How to use Deep Research?

Use the free Gemini model by obtaining a Gemini API key, then deploy the project with a one-click button to Vercel or Cloudflare, and start using. For other LLMs, set the LLM API key and optional API base URL after deployment. For local development, clone the repository, install dependencies with pnpm, set environment variables via env.tpl, and run pnpm dev.

Key features of Deep Research

• Rapid deep research reports in about two minutes.
• Privacy-focused: all data stored locally in the browser.
• Supports multiple LLMs including Gemini, OpenAI, Anthropic, Deepseek, etc.
• Supports multiple web search engines like Tavily, Firecrawl, Searxng, etc.
• Offers both local API and server-side API (SSE and MCP).
• Includes local knowledge base, artifact editing, and knowledge graph features.

Use cases of Deep Research

• Quickly generate comprehensive research reports on any topic.
• Perform iterative research by refining or adjusting at any stage.
• Use as a SaaS service via its SSE API or integrate with other AI tools via the MCP server.
• Build a local knowledge base from uploaded text, Office, and PDF files.