Mcp Deep Research
What is Mcp Deep Research
MCP Deep Research is a tool designed to search the web for information, utilizing the Model Context Protocol and the Tavily API.
Use cases
Use cases include academic research, market analysis, competitive intelligence gathering, and enhancing content generation processes.
How to use
To use MCP Deep Research, install it via NPM with the command ‘npx -y mcp-deep-research@latest’. Configure it by setting the required environment variables, including your Tavily API key.
Key features
Key features include the ability to set maximum search keywords and planning rounds, compatibility with various prompt-based MCP clients, and the use of the Tavily API for enhanced search capabilities.
Where to use
MCP Deep Research can be used in various fields such as research, data analysis, content creation, and any domain requiring web-based information retrieval.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Deep Research
MCP Deep Research is a tool designed to search the web for information, utilizing the Model Context Protocol and the Tavily API.
Use cases
Use cases include academic research, market analysis, competitive intelligence gathering, and enhancing content generation processes.
How to use
To use MCP Deep Research, install it via NPM with the command ‘npx -y mcp-deep-research@latest’. Configure it by setting the required environment variables, including your Tavily API key.
Key features
Key features include the ability to set maximum search keywords and planning rounds, compatibility with various prompt-based MCP clients, and the use of the Tavily API for enhanced search capabilities.
Where to use
MCP Deep Research can be used in various fields such as research, data analysis, content creation, and any domain requiring web-based information retrieval.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Deep Research
简体中文 | English
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:
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
