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STDIO结合多个搜索引擎的研究工具
结合多个搜索引擎的研究工具
A research tool that combines the Model Context Protocol (MCP) with Brave Search, Tavily Search, etc. to achieve research capabilities equivalent to (or aiming to be equivalent to) ChatGPT's DeepResearch.
Install Deno
Clone the repository
Set environment variables
BRAVE_API_KEY
: Brave Search API keyTAVILY_API_KEY
: Tavily Search API key (optional)Run the application:
make dev # HTTP server make mcp # MCP server for Claude Desktop
Install Docker and Docker Compose
Set environment variables in a .env
file
Build and run the container:
make d-build make d-up
# Local development make dev # Start HTTP server with watch mode make mcp # Start MCP server for Claude Desktop make test # Run tests make lint # Run linter make format # Format code make check # Type check # Docker development make d-build # Build the image make d-dev # Start container with live reload make d-up # Run in background make d-logs # View logs make d-down # Stop container
Run the MCP server: make mcp
In Claude Desktop, add a new MCP server with the following configuration:
{ "mcpServers": { "MCPSearch": { "description": "Web search powered by Brave, Tavily, etc.", "command": "/absolute/path/to/ResearchMCP/cli.ts", "args": [], "transport": "stdio", "env": { "BRAVE_API_KEY": "your_brave_api_key_here", "TAVILY_API_KEY": "your_tavily_api_key_here" } } } }
Replace /absolute/path/to/ResearchMCP/cli.ts
with the actual path to the cli.ts file.