記事の概要
The author expresses a continued preference for Model Context Protocol (MCP) over the 'Skills' approach for AI assistant tool integration, particularly in the context of Claude.
- MCP is presented as a mechanism where external servers provide rich, structured data directly to the AI model, allowing for deeper context and reasoning capabilities.
- This contrasts with 'Skills,' which the author characterizes as more akin to traditional function calling where the model requests a client to execute an action and return a result.
- The article argues MCP offers advantages in managing state, handling complex interactions, and providing the model with a comprehensive data model for tools, rather than just function signatures.
- An example of a 'chat' tool illustrates how MCP could provide a full message history directly to the model, unlike a 'send_message' function in a Skills-based system.