記事の概要
This Podcast Rewind episode delves into the Model Context Protocol (MCP), a specification designed to improve how AI models, particularly Claude, interact with external tools and context.
- The discussion highlights MCP's origin from discussions within the AI community and its aim to standardize tool usage for large language models.
- Andrew Fyfe, a co-creator of MCP, is interviewed, providing insights into its development and future.
- The protocol addresses limitations in current function calling and plugin systems by offering a more robust and flexible framework for context sharing.
- A new tool called Computer Coasters is introduced, which allows AI assistants to interact with the user's macOS environment by providing a structured way to expose local files, applications, and system capabilities.