Generates comprehensive, well-cited research reports from research questions by elaborating on the question, finding relevant sources, and analyzing
Deep Research MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Generates comprehensive, well-cited research reports from research questions by elaborating on the question, finding relevant sources, and analyzing content.
MCP Server for Deep Research is a tool designed for conducting comprehensive research on complex topics. It helps you explore questions in depth, find relevant sources, and generate structured research reports.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Once Deep Research is connected, these are the calls the assistant has available:
deep-research — Tailored for comprehensive research tasks with a structured approachmacOS — ~/Library/Application\ Support/Claude/claude_desktop_config.jsonWindows — %APPDATA%/Claude/claude_desktop_config.jsonPrompts — The Prompts tool exposed by this serverThis sits in the search and retrieval group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Deep Research's toolset — deep-research, macOS, Windows and 1 more — is a fair guide to whether it matches your workflow. It is maintained by reading-plus-ai; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Deep Research's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| deep-research | Tailored for comprehensive research tasks with a structured approach |
| macOS | ~/Library/Application\ Support/Claude/claude_desktop_config.json |
| Windows | %APPDATA%/Claude/claude_desktop_config.json |
| Prompts | The Prompts tool exposed by this server. |
"mcpServers": {
"mcp-server-deep-research": {
"command": "uv",
"args": [
"--directory",
"/Users/username/repos/mcp-server-application/mcp-server-deep-research",
"run",
"mcp-server-deep-research"
]
}
}Configuration as documented by the project. Restart the client after saving.
The simplest web tool that matters — fetch any URL and get model-ready markdown back.
Industrial-strength web extraction — render, scrape, crawl and search entire sites into clean markdown.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Put 6,000+ pre-built scrapers at your assistant's fingertips through one MCP endpoint.