spring-ai-mcp-server-patterns▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
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Build MCP servers with Spring AI using declarative tools, prompt templates, and native Spring integration patterns.
- ›Exposes Spring components as AI-callable tools via @Tool annotation, with parameter documentation through @ToolParam for AI model understanding
- ›Supports three transport modes (stdio, HTTP, SSE) with built-in Spring Security integration for role-based access control and audit logging
- ›Includes reusable prompt templates using @PromptTemplate , dynamic tool registration, mu
Spring AI MCP Server Implementation Patterns
Implements MCP servers with Spring AI for AI function calling, tool handlers, and MCP transport configuration.
Overview
Production-ready MCP server patterns: @Tool functions, @PromptTemplate resources, and stdio/HTTP/SSE transports with Spring AI security.
When to Use
MCP servers, Spring AI function calling, AI tools, tool calling, custom tool handlers, Spring Boot MCP, resource endpoints, or MCP transport configuration.
Quick Reference
Core Annotations
| Annotation | Target | Purpose |
|---|---|---|
@EnableMcpServer |
Class | Enable MCP server auto-configuration |
@Tool(description) |
Method | Declare AI-callable tool |
@ToolParam(value) |
Parameter | Document tool parameter for AI |
@PromptTemplate(name) |
Method | Declare reusable prompt template |
@PromptParam(value) |
Parameter | Document prompt parameter |
Transport Types
| Transport | Use Case | Config |
|---|---|---|
stdio |
Local process / Claude Desktop | Default |
http |
Remote HTTP clients | port, path |
sse |
Real-time streaming clients | port, path |
Key Dependencies
<!-- Maven -->
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-mcp-server</artifactId>
<version>1.0.0</version>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-starter-model-openai</artifactId>
<version>1.0.0</version>
</dependency>
// Gradle
implementation 'org.springframework.ai:spring-ai-mcp-server:1.0.0'
implementation 'org.springframework.ai:spring-ai-starter-model-openai:1.0.0'
Instructions
1. Project Setup
Add Spring AI MCP dependencies (see Quick Reference above), configure the AI model in application.properties, and enable MCP with @EnableMcpServer:
@SpringBootApplication
@EnableMcpServer
public class MyMcpApplication {
public static void main(String[] args) {
SpringApplication.run(MyMcpApplication.class, args);
}
}
spring.ai.openai.api-key=${OPENAI_API_KEY}
spring.ai.mcp.enabled=true
spring.ai.mcp.transport.type=stdio
2. Define Tools
Annotate methods with @Tool inside @Component beans. Use @ToolParam to document parameters:
@Component
public class WeatherTools {
@Tool(description = "Get current weather for a city")
public WeatherData getWeather(@ToolParam("City name") String city) {
return weatherService.getCurrentWeather(city);
}
@Tool(description = "Get 5-day forecast for a city")
public ForecastData getForecast(
@ToolParam("City name") String city,
@ToolParam(value = "Unit: celsius or fahrenheit", required = false) String unit) {
return weatherService.getForecast(city, unit != null ? unit : "celsius");
}
}
See references/implementation-patterns.md for database tools, API integration tools, and the FunctionCallback low-level pattern.
3. Create Prompt Templates
@Component
public class CodeReviewPrompts {
@PromptTemplate(
name = "java-code-review",
description = "Review Java code for best practices and issues"
)
public Prompt createCodeReviewPrompt(
@PromptParam("code") String code,
@PromptParam(value = "focusAreas", required = false) List<String> focusAreas) {
String focus = focusAreas != null ? String.join(", ", focusAreas) : "general best practices";
return Prompt.builder()
.system("You are an expert Java code reviewer with 20 years of experience.")
.user("Review the following Java code for " + focus + ":\n```java\n" + code + "\n```")
.build();
}
}
See references/implementation-patterns.md for additional prompt template patterns.
4. Configure Transport
spring:
ai:
mcp:
enabled: true
transport:
type: stdio # stdio | http | sse
http:
port: 8080
path: /mcp
server:
name: my-mcp-server
version: 1.0.0
5. Add Security
@Configuration
public class McpSecurityConfig {
@Bean
public ToolFilter toolFilter(SecurityService securityService) {
return (tool, context) -> {
User user = securityService.getCurrentUser();
if (tool.name().startsWith("admin_")) {
return user.hasRole("ADMIN");
}
return securityService.isToolAllowed(user, tool.name());
};
}
}
Use @PreAuthorize("hasRole('ADMIN')") on tool methods for method-level security. See references/implementation-patterns.md for full security patterns.
6. Testing
@SpringBootTest
class WeatherToolsTest {
@Autowired
private WeatherTools weatherTools;
@MockBean
private WeatherService weatherService;
@Test
void testGetWeather_Success() {
when(weatherService.How to use spring-ai-mcp-server-patterns on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add spring-ai-mcp-server-patterns
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches spring-ai-mcp-server-patterns from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate spring-ai-mcp-server-patterns. Access the skill through slash commands (e.g., /spring-ai-mcp-server-patterns) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★30 reviews- ★★★★★Aditi Kapoor· Dec 24, 2024
Useful defaults in spring-ai-mcp-server-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aditi Bansal· Nov 15, 2024
spring-ai-mcp-server-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sakshi Patil· Nov 11, 2024
Keeps context tight: spring-ai-mcp-server-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kabir Liu· Oct 6, 2024
spring-ai-mcp-server-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chaitanya Patil· Oct 2, 2024
We added spring-ai-mcp-server-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Mia Gill· Sep 13, 2024
spring-ai-mcp-server-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Hiroshi Abbas· Sep 9, 2024
Useful defaults in spring-ai-mcp-server-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Piyush G· Sep 5, 2024
spring-ai-mcp-server-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Mateo Haddad· Sep 5, 2024
Keeps context tight: spring-ai-mcp-server-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Hiroshi Verma· Aug 28, 2024
Registry listing for spring-ai-mcp-server-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.
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