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NOTE: This project has been graduated and moved to the

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

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Created by spring-projects-experimental2025/03/28
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What is NOTE: This project has been graduated and moved to the?

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? Integrating AI models into Java applications for enhanced functionality. Building chatbots that interact with databases using the MCP framework. 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.

As an MCP (Model Context Protocol) server, NOTE: This project has been graduated and moved to the enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use NOTE: This project has been graduated and moved to the

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? Integrating AI models into Java applications for enhanced functionality. Building chatbots that interact with databases using the MCP framework. 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.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like NOTE: This project has been graduated and moved to the can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like NOTE: This project has been graduated and moved to the provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.