文章摘要
The article provides a detailed guide on building an application that leverages the Model Context Protocol (MCP).
- It explains MCP as a specification enabling AI models to request external context and API calls from a client application during a conversation.
- The tutorial demonstrates constructing an MCP client using AWS Lambda, Amazon API Gateway, and Mistral models hosted on Amazon Bedrock.
- It walks through the MCP workflow, including the model's use of `tool_use` content blocks and the client's return of `tool_result` information.
- A practical use case involving an order management system is presented as an example of external tool integration.