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MCP2Tavily MCP Server

@mcp2everything

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

mcp2everything

About MCP2Tavily MCP Server

一个MCP服务器，让你的Claude Cline以及Langchain实现网络搜索功能。An MCP server that allows your Claude Cline and Langchain to implement network search functions.

#mcp2tavily#web-search#mcp-server

MCP2Tavily MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp2tavily": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP2Tavily MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP2Tavily?

MCP2Tavily is an MCP protocol server that enables web search functionality through the Tavily API. It is designed for developers using AI assistants like Claude who need to perform web searches via the Model Context Protocol.

How to use MCP2Tavily?

Clone the repository, create a .env file with your Tavily API key, set up a virtual environment with UV, and install dependencies via uv sync. Then install as a Claude extension with fastmcp install mcp2tavily.py or test using MCP Inspector with fastmcp dev mcp2tavily.py. A manual JSON configuration is also provided for integration with Cline, Continue, and Claude.

Key features of MCP2Tavily

  • Provides two web search tools: search_web and search_web_info
  • search_web_info includes Chinese-language descriptions
  • Easy installation as a Claude extension via FastMCP
  • Supports development and testing with MCP Inspector
  • Uses Tavily API for high-quality web search results

Use cases of MCP2Tavily

  • Enabling Claude or other MCP-compatible assistants to search the web
  • Integrating real-time web search into AI workflows
  • Creating custom search tools for multi-agent systems
  • Building AI applications that require recent or specific online information

Frequently asked questions

1

What are the prerequisites for MCP2Tavily?

Python 3.11 or higher, the UV package manager, and a valid Tavily API key are required.

2

How do I obtain a Tavily API key?

You must sign up for a Tavily account and generate an API key. The key is stored in the `TAVILY_API_KEY` environment variable.

3

Does MCP2Tavily store any data?

No. MCP2Tavily itself does not store data; search queries are sent to the Tavily API and results are returned directly.

4

What transport protocol does MCP2Tavily use?

The README does not specify a transport protocol, but it uses the MCP standard and is invoked via FastMCP, which typically uses stdio or HTTP.

5

Can I use MCP2Tavily with Cline or Continue?

Yes. The README provides a JSON configuration example for integrating MCP2Tavily with Cline, Continue, and Claude by specifying the `uv` command and required arguments.

Comments

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