MCP2Tavily
An MCP protocol server that enables web search functionality using the Tavily API, allowing AI assistants to perform internet searches in real-time.
mcp2everything
Tools
search_web
Search the web for information using Tavily API
search_web_info
从网络搜索用户查询的信息
get_url_content
Get the content from a specific URL using Tavily API Args: url (str): The URL to extract content from Returns: str: The extracted content from the URL
get_url_content_info
从指定URL获取网页内容 参数: url (str): 需要提取内容的网页地址 返回: str: 从URL提取的网页内容
README
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
- Clone the repository
git clone <repository-url>
cd mcp2tavily
- Create and edit the
.envfile
# Create .env file
touch .env
# Add your Tavily API key to .env
echo "TAVILY_API_KEY=your_api_key_here" > .env
- Set up virtual environment with UV
# Create and activate virtual environment
uv venv
source .venv/bin/activate # On Windows use: .venv\Scripts\activate
- 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 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
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