Tavily Mcp Claude Integration
What is Tavily Mcp Claude Integration
Tavily-MCP-Claude-Integration is an open-source Python project that integrates the Tavily API with Claude using the Model Completion Protocol (MCP).
Use cases
Use cases include searching for the latest news, finding information on specific topics, and analyzing text for insights.
How to use
To use Tavily-MCP-Claude-Integration, clone the repository, set up your environment with your Tavily API key in a .env file, install the necessary dependencies, and run the MCP server.
Key features
Key features include two tools: search(query, search_depth) for performing web searches and analyze_text(text) for analyzing text content.
Where to use
Tavily-MCP-Claude-Integration can be used in various fields such as research, education, and content creation where information retrieval and text analysis are needed.
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 Tavily Mcp Claude Integration
Tavily-MCP-Claude-Integration is an open-source Python project that integrates the Tavily API with Claude using the Model Completion Protocol (MCP).
Use cases
Use cases include searching for the latest news, finding information on specific topics, and analyzing text for insights.
How to use
To use Tavily-MCP-Claude-Integration, clone the repository, set up your environment with your Tavily API key in a .env file, install the necessary dependencies, and run the MCP server.
Key features
Key features include two tools: search(query, search_depth) for performing web searches and analyze_text(text) for analyzing text content.
Where to use
Tavily-MCP-Claude-Integration can be used in various fields such as research, education, and content creation where information retrieval and text analysis are needed.
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
Tavily MCP Server for Claude
This project creates a Tavily search integration for Claude using the Model Completion Protocol (MCP).
Setup Instructions
- Clone this repository
- Create a
.envfile in the root directory with your Tavily API key:
You can get your API key from TavilyTAVILY_API_KEY=your_tavily_api_key_here - Install dependencies with
uv add "mcp[cli]" "tavily-python" "python-dotenv" - Install the MCP server with
uv run mcp install main.py
Setup Steps (Already Completed)
- Installed uv by running
pip install uv - Created project directory with
uv init tavily-mcp-server - Added MCP CLI with
uv add "mcp[cli]" - Added required dependencies with
uv add "tavily-python" "python-dotenv" - Upgraded typer library with
pip install --upgrade typer - Created Tavily search server in
main.py - Installed server in Claude with
uv run mcp install main.py
Using Tavily Search in Claude
- Make sure Claude Desktop is restarted (close it completely from Task Manager first, then restart)
- In Claude, you should see the Tavily Search tools available
- You can ask Claude to search for information, for example:
- “Search for the latest news about artificial intelligence”
- “Find information about climate change”
- “Look up the recipe for chocolate chip cookies”
Available Tools
This server provides Claude with two Tavily-powered tools:
search(query, search_depth)- Performs web searchesanalyze_text(text)- Analyzes text content
Troubleshooting
If the tools don’t appear in Claude:
- Make sure you’ve restarted Claude completely
- Try reinstalling the MCP server with
uv run mcp install main.py - Check for any error messages during installation
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
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.
