Spring AI integration with MCP (Model Context Protocol)

What is MCP Server with Spring AI?

MCP Server with Spring AI is a framework that allows developers to build their own Model Context Protocol (MCP) servers using Spring Boot, enabling AI models to interact with external tools and resources in a structured manner.

How to use MCP Server with Spring AI?

To use the MCP Server, set up a PostgreSQL database, run the MCP server project, and connect it with an MCP client. The server exposes tools that can be invoked by AI models based on prompts.

Key features of MCP Server with Spring AI?

• Integration with PostgreSQL for data management.
• Exposes tools for AI models to interact with external data sources.
• Supports both synchronous and asynchronous communication patterns.
• Provides a structured way for AI models to utilize external resources.

Use cases of MCP Server with Spring AI?

1. Building AI applications that require interaction with databases.
2. Creating tools that can be invoked by AI models for data retrieval.
3. Facilitating communication between AI models and external APIs.

FAQ from MCP Server with Spring AI?

• What is the Model Context Protocol (MCP)?

MCP is a standardized protocol that enables AI models to interact with external tools and resources.

• How do I set up the MCP Server?

Follow the provided steps to create a PostgreSQL database, run the MCP server project, and connect it with an MCP client.

• Can I use MCP with other databases?

Yes, while this example uses PostgreSQL, MCP can be adapted to work with other databases.