tavily-search MCP server

📋 Overview:

This webpage is the GitHub repository page for "mcp-server-tavily," a project by user Tomatio13. The repository is public and contains code for a MCP server which uses the Tavily API to perform searches based on user queries. The server returns search results in text format, including AI responses, URIs, and titles. The page provides information on how to install and use the server, both via Smithery and manually, as well as instructions for running it in a local environment using Docker Compose.

⭐ Key Points:

• The project is a MCP server that utilizes the Tavily API for search functionality.


• Search results are returned in text format with AI responses, URIs and titles.


• Installation instructions are provided for Claude Desktop.


• Instructions for running the server in a local environment using Docker Compose are included.


• The project is MIT licensed.


🔍 Main Findings:

• The repository contains the necessary files to set up a Tavily-powered search server.


• The instructions provide detailed steps for installing and configuring the server in different environments (Claude Desktop, Docker).


• The README file includes information about the tools implemented, their arguments, and how to use the server.


📊 Details:

• Programming Languages: Python (91.5%), Dockerfile (8.5%)


• Number of contributors: 3


• License: MIT


• Number of stars: 22


• Number of forks: 3


• Primary tool: search (requires "query" argument; optional "search_depth" argument)

🎯 Conclusion:
The "mcp-server-tavily" repository offers a functional MCP server that leverages the Tavily API to enable search capabilities. The documentation provides comprehensive instructions for setup and usage, catering to both Claude Desktop users and those seeking a local Docker-based deployment.