Mcp2tavily
What is Mcp2tavily
mcp2tavily is an MCP server that enables Claude Cline and Langchain to implement web search functionalities using the Tavily API.
Use cases
Use cases include integrating web search into AI applications, enabling chatbots to fetch real-time information, and enhancing user interactions with search capabilities.
How to use
To use mcp2tavily, clone the repository, set up the environment by creating a .env file with your Tavily API key, and install the necessary dependencies. You can then install it as a Claude extension or run it in development mode using MCP Inspector.
Key features
Key features include the ability to perform web searches using the Tavily API and the option to test functionalities with the MCP Inspector. It also supports environment variable configuration for API keys.
Where to use
mcp2tavily can be used in various fields that require web search capabilities, such as AI development, data retrieval, and enhancing chatbot functionalities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp2tavily
mcp2tavily is an MCP server that enables Claude Cline and Langchain to implement web search functionalities using the Tavily API.
Use cases
Use cases include integrating web search into AI applications, enabling chatbots to fetch real-time information, and enhancing user interactions with search capabilities.
How to use
To use mcp2tavily, clone the repository, set up the environment by creating a .env file with your Tavily API key, and install the necessary dependencies. You can then install it as a Claude extension or run it in development mode using MCP Inspector.
Key features
Key features include the ability to perform web searches using the Tavily API and the option to test functionalities with the MCP Inspector. It also supports environment variable configuration for API keys.
Where to use
mcp2tavily can be used in various fields that require web search capabilities, such as AI development, data retrieval, and enhancing chatbot functionalities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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
Cline
Cline
Cline
EXAMPLE
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
