Spring AI Client FAQs

Question 1

What does the MCP Client handle?

Accepted Answer

The client manages protocol version negotiation, capability negotiation, message transport (JSON-RPC), tool discovery, resource access, prompt system interactions, and optional features such as roots management and sampling support.

Question 2

How do I configure the MCP server?

Accepted Answer

You need to configure the `mcp-servers.json` file with the necessary information about your MCP server, including its command and arguments.  You also need to configure your application.yml file with the server details.

Question 3

What is the Spring AI MCP Client?

Accepted Answer

The Spring AI MCP Client is a component that connects your application to AI models (like Anthropic Claude or OpenAI) via the Model Context Protocol (MCP). It handles communication and feature negotiation with MCP servers.

Question 4

What are the key requirements to use Spring AI MCP Client?

Accepted Answer

You'll need Java 17+, Maven or Gradle, and an API key from either Anthropic (Anthropic Console) or OpenAI (OpenAI Console). Docker is optional.

Question 5

Which AI models are supported by the Spring AI MCP Client?

Accepted Answer

The Spring AI MCP Client currently supports Anthropic Claude and OpenAI models, allowing you to choose the best option for your specific needs.

Spring AI Client

Spring AI Client

Key Features

Use Cases

Key Features

Use Cases