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NOTE: This project has been graduated and moved to the

@spring-projects-experimental

Java SDK for the Model Context Protocol (MCP), providing seamless integration between Java and Spring applications and MCP-compliant AI models and tools.
Overview

What is Spring AI MCP?

Spring AI MCP is a Java SDK designed for seamless integration between Java and Spring applications with AI models and tools compliant with the Model Context Protocol (MCP).

How to use Spring AI MCP?

To use Spring AI MCP, add the necessary dependencies to your Maven project and follow the provided documentation for integration with your Java applications.

Key features of Spring AI MCP?

  • Provides synchronous and asynchronous communication patterns for AI model interaction.
  • Supports standard MCP operations such as tool discovery and resource management.
  • Includes various transport implementations for different communication needs.

Use cases of Spring AI MCP?

  1. Integrating AI models into Java applications for enhanced functionality.
  2. Building chatbots that interact with databases using the MCP framework.
  3. Creating applications that require real-time data processing and AI model interaction.

FAQ from Spring AI MCP?

  • Is Spring AI MCP suitable for all Java applications?

Yes! It is designed to integrate with any Java application that requires AI model interaction.

  • How can I contribute to the project?

Contributions are welcome! You can fork the repository, create a feature branch, and submit a pull request.

  • Where can I find the documentation?

Comprehensive documentation is available on the Spring AI MCP Reference Documentation.

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