mcp-tavily
Tavily MCP Server is a Model Context Protocol server designed to enable AI-powered web search capabilities. It provides tools for comprehensive web searches and direct AI-generated answers, utilizing Tavily's search API. Key features include the ability to filter searches by domain and gather recent news articles.
Tavily MCP Server
A Model Context Protocol server that offers AI-powered web search capabilities through Tavily's search API, enabling sophisticated web searches and AI-generated answers to recent news articles.
Features
- Tavily Web Search: Comprehensive web searches with AI content extraction.
- Tavily Answer Search: Web searches generating direct AI-generated answers.
- Tavily News Search: Recent news articles search with publication dates.
Prerequisites
- Python 3.11 or later
- Tavily API key
uvpackage manager (recommended)
Installation
Options for installation include using pip or uv, or from source.
Configuration
API key setup through .env files, environment variables, or command-line arguments.
Usage Examples
Search examples include basic web searches, domain-filtered reports, answer search mode, and news searches.
Testing
Guidelines for running a comprehensive test suite.
Docker
Guidelines for building and running a Docker container.
Debugging
Use the MCP inspector for debugging.
Contributing
Guidelines for contributing to the project.
License
Licensed under the MIT License.