How do I secure my Spring AI MCP server?

Since these patterns build on Spring Boot, you can utilize Spring Security to protect your MCP endpoints and tools, ensuring only authorized models or clients can trigger specific functions.

Which Java versions are compatible with these patterns?

These patterns follow Spring AI requirements, which generally require Java 17 or higher to support modern features and the latest Spring Boot releases.

What is an MCP server in the context of Spring AI?

A Model Context Protocol (MCP) server is a standardized interface that allows AI models like Claude to access external tools, resources, and prompt templates through a structured protocol, implemented here using Spring AI's Java framework.

Can I use these patterns with existing Spring Boot applications?

Yes, these patterns are designed to integrate seamlessly into existing Spring Boot ecosystems, allowing you to expose your current services and data as AI-callable tools.

Does this skill support function calling?

Absolutely. It provides patterns for both declarative @Tool definitions and lower-level FunctionCallback implementations for complex AI integration scenarios.

Spring AI MCP Server Patterns

Name: Spring AI MCP Server Patterns
Author: pur3v4d3r

bypur3v4d3r

•

API開発

Implements Model Context Protocol (MCP) servers using Spring AI to extend AI capabilities with enterprise-grade Java tools and resources.

概要

This skill provides a comprehensive set of implementation patterns for developers building Model Context Protocol (MCP) servers within the Spring AI ecosystem. It leverages Spring's native abstractions like @Tool and @PromptTemplate to create standardized connections between AI models and external data sources or functions. By providing structured patterns for function calling, prompt management, and Spring Boot auto-configuration, it enables the rapid development of production-ready AI tools that benefit from Spring’s enterprise features like security, monitoring, and dependency injection.

主な機能

Reusable prompt templates via the @PromptTemplate pattern
Enterprise-ready patterns for API and database tool implementations
Low-level function calling integration through FunctionCallback
Standardized MCP server configuration for Spring Boot applications
1 GitHub stars
Declarative tool creation using @Tool and @ToolParam annotations

ユースケース

Extending Claude’s capabilities with specialized Java-based business logic
Building custom MCP servers to expose corporate databases or APIs to AI models
Standardizing AI prompt interactions across a microservices architecture

概要

主な機能

Reusable prompt templates via the @PromptTemplate pattern
Enterprise-ready patterns for API and database tool implementations
Low-level function calling integration through FunctionCallback
Standardized MCP server configuration for Spring Boot applications
1 GitHub stars
Declarative tool creation using @Tool and @ToolParam annotations

ユースケース

Extending Claude’s capabilities with specialized Java-based business logic
Building custom MCP servers to expose corporate databases or APIs to AI models
Standardizing AI prompt interactions across a microservices architecture