Do I need Spring Boot to use this skill?

While the skill is optimized for Spring Boot with auto-configuration and starters, the fundamental patterns can be adapted for any Java application using the Spring AI framework.

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

An MCP server uses the Model Context Protocol to expose local tools, resources, and prompts to AI clients like Claude Code, utilizing Spring AI's declarative framework for implementation.

Can I use this with both Maven and Gradle?

Yes, the skill includes configuration patterns and dependency management examples for both Maven and Gradle build systems.

How does this enhance Claude Code's capabilities?

By implementing these patterns, you allow Claude Code to securely interact with your custom Java logic, databases, and APIs through a standardized protocol, making your local code more 'AI-aware'.

Spring AI MCP Integration

Name: Spring AI MCP Integration
Author: giuseppe-trisciuoglio

bygiuseppe-trisciuoglio

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API Development

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

This skill provides a comprehensive set of implementation patterns for building Model Context Protocol (MCP) servers within the Spring ecosystem. By leveraging Spring AI's native abstractions like @Tool and @PromptTemplate, it allows developers to seamlessly expose backend services, databases, and custom logic as standardized AI tools. It is particularly useful for enterprise teams building production-ready AI agents that require secure, observable, and scalable integrations with Java-based microservices and Spring Boot applications.

Key Features

01Standardized prompt management with reusable @PromptTemplate patterns

02Advanced function calling patterns with built-in validation and error handling

0334 GitHub stars

04Declarative tool creation using @Tool and @ToolParam annotations

05Native Spring Boot auto-configuration for rapid MCP server deployment

06Flexible transport layer support including stdio and Spring-managed channels

Use Cases

01Exposing internal microservice APIs as executable tools for AI agents

02Building secure database query interfaces for AI-driven data analysis

03Creating standardized enterprise-wide prompt libraries for consistent AI behavior

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add giuseppe-trisciuoglio/developer-kit spring-ai

For use in Claude.ai and ChatGPT

Download Skill