Utilizes .ENV for environment variable management, specifically for storing and accessing the Tavily API key needed for web search functionality.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP2Tavilysearch for latest AI developments in 2024"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP2Tavily
A MCP protocol server that implements web search functionality using the Tavily API.
Prerequisites
Python 3.11+
UV package manager
Tavily API key
Related MCP server: All-Search MCP Server
Installation
Clone the repository
git clone <repository-url>
cd mcp2tavilyCreate and edit the
.envfile
# Create .env file
touch .env
# Add your Tavily API key to .env
echo "TAVILY_API_KEY=your_api_key_here" > .envSet up virtual environment with UV
# Create and activate virtual environment
uv venv
source .venv/bin/activate # On Windows use: .venv\Scripts\activateInstall dependencies
uv syncUsage
Install as Claude extension
fastmcp install mcp2tavily.pyDevelopment mode with MCP Inspector
To test the functionality using MCP Inspector:
fastmcp dev mcp2tavily.pyOnce running, you can access the MCP Inspector at: http://localhost:5173
Available Tools
search_web(query: str): Search the web using Tavily APIsearch_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

Cline

Cline

EXAMPLE
