Spring AI integration with MCP (Model Context Protocol)
About
Spring AI MCP extends the MCP Java SDK with Spring Boot integration, providing both client and server starters. It enables AI models to interact with external tools and resources in a standardized way through the Model Context Protocol (MCP).
Details
- Author
- kuldeepsingh99
- Downloads
- 320
- Categories
- Other, AI
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- Provides both MCP Client and MCP Server Spring Boot starters
- Supports stdio and SSE transport mechanisms
- Exposes tools via @Tool and @ToolParam annotations
- Automates LLM tool selection based on prompt and tool metadata
- Integrates with Spring Data repositories for database queries
Bootstrap your AI applications with MCP support using Spring Initializer. The example shows an MCP Server connecting to a PostgreSQL database, exposing tools annotated with @Tool, and an MCP Client that connects to the server. The LLM (e.g., Ollama) automatically selects the correct tool based on the prompt when tool names and descriptions are properly written.
Spring AI integration with MCP (Model Context Protocol)
The Model Context Protocol (MCP) is a standardized protocol that enables AI models to interact with external tools and resources in a structured way. It supports multiple transport mechanisms to provide flexibility across different environments.
The MCP Java SDK provides a Java implementation of the Model Context Protocol, enabling standardized interaction with AI models and tools through both synchronous and asynchronous communication patterns.
Spring AI MCP extends the MCP Java SDK with Spring Boot integration, providing both client and server starters. Bootstrap your AI applications with MCP support using Spring Initializer.
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