Can I use these patterns for secure enterprise tools?

Yes, the skill includes patterns for Spring Security integration, role-based access control, and input validation to prevent injection attacks when AI models call your tools.

Which transport protocols are supported by these patterns?

The patterns cover implementation for stdio (for local CLI-based AI), HTTP, and SSE (Server-Sent Events) communication channels.

Is this limited to specific AI models like OpenAI?

No, Spring AI's MCP implementation is model-agnostic, meaning the servers you build can be consumed by Claude, OpenAI, or any other model via an MCP client.

What is the benefit of using Spring AI for MCP servers?

It provides native, declarative annotations like @Tool that integrate seamlessly with the Spring ecosystem, allowing you to use dependency injection, security, and monitoring in your AI tools.

Spring AI MCP Server Patterns

Name: Spring AI MCP Server Patterns
Author: giuseppe-trisciuoglio

bygiuseppe-trisciuoglio

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126

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API 开发

Builds production-ready Model Context Protocol (MCP) servers using Spring AI to expose custom tools, resources, and prompt templates to AI models.

Spring AI MCP Server Patterns provides a comprehensive framework for extending AI capabilities through the Model Context Protocol. It leverages native Spring AI abstractions like @Tool and @PromptTemplate to transform standard Spring components into callable AI functions and standardized prompt sources. Ideal for enterprise environments, this skill simplifies the creation of secure, testable, and scalable MCP servers that bridge the gap between Large Language Models (LLMs) and internal data sources, business logic, or microservices.

主要功能

01Reusable prompt management with @PromptTemplate and @PromptParam

02126 GitHub stars

03Standardized implementation patterns for function calling and resource access

04Integrated security patterns using Spring Security and input validation

05Flexible transport configuration supporting stdio, HTTP, and SSE

06Declarative tool definition using @Tool and @ToolParam annotations

使用场景

01Building enterprise-grade MCP servers to give LLMs access to internal databases

02Exposing complex business logic as callable tools for AI agents and assistants

03Creating standardized prompt template repositories for organizational AI workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add giuseppe-trisciuoglio/developer-kit spring-ai-mcp-server-patterns

For use in Claude.ai and ChatGPT

Download Skill