What transport options are supported?
The server can be run over stdio (default) or SSE (by running `node dist/sse.js` and specifying a port).
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"apappascs_tavily-search-mcp-server": {
"command": "node",
"args": [
"dist/index.js"
]
}
}
}Execute web searches using the Tavily Search API.
Tavily Search MCP Server is an MCP server that integrates the Tavily Search API, providing optimized web search capabilities for large language models. It is designed for developers and AI applications that need structured, relevant search results.
To use it, clone the repository, install dependencies with npm install, and build with npm run build. Then configure the server in Claude Desktop by adding a tavily-search-server entry to the mcpServers object in claude_desktop_config.json, providing your Tavily API key. You can run the server via Node.js (node dist/index.js) or Docker.
The server can be run over stdio (default) or SSE (by running `node dist/sse.js` and specifying a port).
Sign up for a Tavily API account, choose a plan (free tier available), and generate your API key from the Tavily dashboard.
Yes, build the Docker image with `docker build -t tavily-search-mcp-server:latest .` and run it with `docker run -it --rm -e TAVILY_API_KEY="your_key" tavily-search-mcp-server:latest`. For SSE transport, add `-e TRANSPORT="sse"` and map port 3001.
Edit your Claude Desktop configuration file (`~/Library/Application\ Support/Claude/claude_desktop_config.json` on macOS or `%APPDATA%\Claude\claude_desktop_config.json` on Windows) and add the server’s command and environment variables under `mcpServers`.
The server requires Node.js to build and run. For Docker usage, Docker must be installed. No other external services are needed beyond the Tavily API.

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