mcp client application that utilizes spring ai and anthropic claude models. it integrates with mcp protocol-supported servers to enable ai-powered chat interactions.
Overview
What is Spring AI MCP Client?
The Spring AI MCP Client is a client application that utilizes Spring AI and Anthropic Claude models to enable AI-powered chat interactions with MCP protocol-supported servers.
How to use Spring AI MCP Client?
To use the Spring AI MCP Client, clone the repository, configure the MCP server settings in the mcp-servers.json file, set up the application.yml for Spring configuration, and run the application using Maven.
Key features of Spring AI MCP Client?
- Establishes and manages connections with MCP servers.
- Supports protocol version and capability negotiation.
- Handles message transport and JSON-RPC communication.
- Allows tool discovery and execution.
- Manages resources and prompt system interactions.
- Supports both Anthropic and OpenAI models.
Use cases of Spring AI MCP Client?
- Integrating AI chat functionalities into applications.
- Facilitating communication between clients and AI models.
- Enabling developers to build AI-powered applications using the MCP protocol.
FAQ from Spring AI MCP Client?
- What are the requirements to run the Spring AI MCP Client?
You need Java 17+, Maven or Gradle, and an Anthropic or OpenAI API key.
- How do I configure the MCP server?
You need to add the MCP server information to the mcp-servers.json file.
- Can I use both Anthropic and OpenAI models?
Yes, the client supports both models.