AI Makerspace Tavily

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This project serves as a foundational demonstration of a Model Context Protocol (MCP) server, showcasing its integration with the Tavily API to enable powerful web search functionalities. Designed to operate in a standard input/output (stdio) transport mode, it provides a practical example of setting up an MCP server and extends its capabilities by utilizing external APIs for real-time information retrieval. Developers can leverage this blueprint to build custom tools and expand the server's utility for various intelligent agent applications.

Características Principales

• Python 3.13+ compatibility
• MCP server implementation
• Blueprint for adding custom tools
• 0 GitHub stars
• Standard I/O (stdio) transport mode
• Tavily API integration for web search

Casos de Uso

• Learning and prototyping custom MCP server tools
• Integrating external APIs within an MCP environment
• Adding web search capabilities to AI agent applications