AI Meta facilitates AI-driven extension of capabilities by allowing models to define and execute custom functions at runtime. This dynamic MCP server supports multiple runtime environments, including JavaScript, Python, and Shell, while ensuring security through sandboxed execution and human approval workflows. It offers a flexible tool registry for managing, listing, updating, and deleting custom tools, with persistence to store tool definitions between sessions. This empowers AI to adapt and enhance its functionality according to specific needs and contexts.