Resumen del Artículo
GitHub has released a tutorial on building a Model Context Protocol (MCP) server to extend AI tools with custom capabilities.
- The guide details how MCP servers allow AI models, such as Anthropic's Claude, to securely access external tools, APIs, and real-time information.
- It provides a step-by-step walkthrough for creating a basic MCP server using Python (Flask), demonstrating how to expose custom actions.
- Examples include fetching the current time and calling an external joke API, showcasing practical integration possibilities.
- The tutorial explains how to connect the custom MCP server to an MCP-enabled AI client, significantly enhancing AI assistant extensibility.