Tavily Search MCP Server

@apappascs

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许可证

MIT

传输方式

stdio

作者

apappascs

关于 Tavily Search MCP Server

An MCP server implementation that integrates the Tavily Search API, providing optimized search capabilities for LLMs.

#tavily #search #mcp #server #llm #api

Tavily Search MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "tavily-search-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@apappascs/tavily-search-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

Tavily Search MCP Server 工具

Execute web searches using the Tavily Search API.

概览

What is Tavily Search MCP Server?

Tavily Search MCP Server is an MCP server implementation that integrates the Tavily Search API, providing optimized web search capabilities for large language models.

How to use Tavily Search MCP Server?

Clone the repository, install dependencies, build the project, and configure your Tavily API key in the Claude Desktop MCP configuration file. Use the tavily_search tool to execute web searches with optional parameters like search depth, topic, domain filtering, and result inclusion of images or raw content.

Key features of Tavily Search MCP Server

Web search optimized for LLMs
Content extraction from search results
Optional images, image descriptions, and LLM-generated answers
Domain filtering (include or exclude domains)
Control over search depth, topic, and time range

Use cases of Tavily Search MCP Server

Enhancing LLM responses with real-time web data
Aggregating news articles with time range filtering
Extracting relevant content from search results for analysis
Filtering searches by specific domains for focused research
Including images and descriptions for rich information retrieval

常见问题

Do I need a Tavily API key?

Yes, a Tavily API key is required. Obtain one from the Tavily dashboard after signing up.

What are the runtime dependencies?

Node.js is required for npm-based usage; Docker is also supported. The server can run via stdio or SSE transport.

Where does the search data come from?

All data is fetched from the Tavily Search API. No search results are stored locally.

What transports are supported?

The server supports both stdio (default) and SSE transport, configurable in the Claude Desktop configuration or via the `TRANSPORT` environment variable when using Docker.

Is there any limit on the number of results?

The `max_results` parameter defaults to 5 and can be increased, but actual limits depend on your Tavily API plan (a free tier is available).

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