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MCP Server

MCP2Tavily

An MCP protocol server that enables web search functionality using the Tavily API, allowing AI assistants to perform internet searches in real-time.

3
GitHub Stars
8/22/2025
Last Updated
No Configuration
Please check the documentation below.

README Documentation

MCP2Tavily

A MCP protocol server that implements web search functionality using the Tavily API.

Prerequisites

  • Python 3.11+
  • UV package manager
  • Tavily API key

Installation

  1. Clone the repository
git clone <repository-url>
cd mcp2tavily
  1. Create and edit the .env file
# Create .env file
touch .env
# Add your Tavily API key to .env
echo "TAVILY_API_KEY=your_api_key_here" > .env
  1. Set up virtual environment with UV
# Create and activate virtual environment
uv venv
source .venv/bin/activate  # On Windows use: .venv\Scripts\activate
  1. Install dependencies
uv sync

Usage

Install as Claude extension

fastmcp install mcp2tavily.py

Development mode with MCP Inspector

To test the functionality using MCP Inspector:

fastmcp dev mcp2tavily.py

Once running, you can access the MCP Inspector at: http://localhost:5173

Available Tools

  • search_web(query: str): Search the web using Tavily API
  • search_web_info(query: str): Same as above, with Chinese description

Environment Variables

  • TAVILY_API_KEY: Your Tavily API key (required)

Step-by-Step Guide

手动添加Cline Continue Claude

Cline Continue Claude的MCP JSON FILE


"mcp2tavily": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "fastmcp",
        "--with",
        "python-dotenv",
        "--with",
        "tavily-python",
        "fastmcp",
        "run",
        "C:\\Users\\你的真实路径\\mcp2tavily.py"
      ],
      "env": {
        "TAVILY_API_KEY": "API密钥"
      }
    }

Cline

配置

Cline

配置

Cline

配置

EXAMPLE

搜索示例

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Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source