MCP Deep Research

Performs deep web searches for information using the Tavily API.

GitHub

MCP Deep Research

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Overview

MCP Deep Research is a tool that allows you to search the web for information. It is built with the Model Context Protocol and the Tavily API.

Configuration

{
  "mcpServers": {
    "deep-research": {
      "command": "npx",
      "args": ["-y", "mcp-deep-research@latest"],
      "env": {
        "TAVILY_API_KEY": "your_tavily_api_key", // Required
        "MAX_SEARCH_KEYWORDS": "5", // Optional, default 5
        "MAX_PLANNING_ROUNDS": "5" // Optional, default 5
      }
    }
  }
}

The tool can be configured using the following environment variables:

  • TAVILY_API_KEY: The API key for the Tavily API.
  • MAX_SEARCH_KEYWORDS: The maximum number of search keywords to use.
  • MAX_PLANNING_ROUNDS: The maximum number of planning rounds to use.
  • TAVILY_HTTP_PROXY/TAVILY_HTTPS_PROXY: The proxy address for the Tavily API.

Use with Smithery

Install via Smithery, compatible with Claude Desktop client:

npx -y @smithery/cli install @baranwang/mcp-deep-research --client claude

Compatibility Notice

This MCP server is optimized for prompt-based MCP clients. For MCP clients implemented using function calling mechanisms, the performance and results may not be optimal.

Verified prompt-based MCP clients:

Verified function calling-based MCP clients:

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