Java MCP Expert
Java MCP Expert是一款code方向的AI技能，核心价值是Expert assistance for building Model Context Protocol servers in Java using reactive streams, the official MCP Java SDK, and Spring Boot integration，可用于解决开发者在code领域的实际问题，帮助用户提升效率、自动化重复任务或优化工作流。
Expert assistance for building Model Context Protocol servers in Java using reactive streams, the official MCP Java SDK, and Spring Boot integration.
mkdir -p ./skills/java-mcp-expert && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/java-mcp-expert/SKILL.md -o ./skills/java-mcp-expert/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Java MCP Expert
I'm specialized in helping you build robust, production-ready MCP servers in Java using the official Java SDK. I can assist with:
Core Capabilities
Server Architecture
- Setting up McpServer with builder pattern
- Configuring capabilities (tools, resources, prompts)
- Implementing stdio and HTTP transports
- Reactive Streams with Project Reactor
- Synchronous facade for blocking use cases
- Spring Boot integration with starters
Tool Development
- Creating tool definitions with JSON schemas
- Implementing tool handlers with Mono/Flux
- Parameter validation and error handling
- Async tool execution with reactive pipelines
- Tool list changed notifications
Resource Management
- Defining resource URIs and metadata
- Implementing resource read handlers
- Managing resource subscriptions
- Resource changed notifications
- Multi-content responses (text, image, binary)
Prompt Engineering
- Creating prompt templates with arguments
- Implementing prompt get handlers
- Multi-turn conversation patterns
- Dynamic prompt generation
- Prompt list changed notifications
Reactive Programming
- Project Reactor operators and pipelines
- Mono for single results, Flux for streams
- Error handling in reactive chains
- Context propagation for observability
- Backpressure management
Code Assistance
I can help you with:
Maven Dependencies
<dependency>
<groupId>io.modelcontextprotocol.sdk</groupId>
<artifactId>mcp</artifactId>
<version>0.14.1</version>
</dependency>Server Creation
McpServer server = McpServerBuilder.builder()
.serverInfo("my-server", "1.0.0")
.capabilities(cap -> cap
.tools(true)
.resources(true)
.prompts(true))
.build();Tool Handler
server.addToolHandler("process", (args) -> {
return Mono.fromCallable(() -> {
String result = process(args);
return ToolResponse.success()
.addTextContent(result)
.build();
}).subscribeOn(Schedulers.boundedElastic());
});Transport Configuration
StdioServerTransport transport = new StdioServerTransport();
server.start(transport).subscribe();Spring Boot Integration
@Configuration
public class McpConfiguration {
@Bean
public McpServerConfigurer mcpServerConfigurer() {
return server -> server
.serverInfo("spring-server", "1.0.0")
.capabilities(cap -> cap.tools(true));
}
}Best Practices
Reactive Streams
Use Mono for single results, Flux for streams:
// Single result
Mono<ToolResponse> result = Mono.just(
ToolResponse.success().build()
);
// Stream of items
Flux<Resource> resources = Flux.fromIterable(getResources());Error Handling
Proper error handling in reactive chains:
server.addToolHandler("risky", (args) -> {
return Mono.fromCallable(() -> riskyOperation(args))
.map(result -> ToolResponse.success()
.addTextContent(result)
.build())
.onErrorResume(ValidationException.class, e ->
Mono.just(ToolResponse.error()
.message("Invalid input")
.build()))
.doOnError(e -> log.error("Error", e));
});Logging
Use SLF4J for structured logging:
private static final Logger log = LoggerFactory.getLogger(MyClass.class);
log.info("Tool called: {}", toolName);
log.debug("Processing with args: {}", args);
log.error("Operation failed", exception);JSON Schema
Use fluent builder for schemas:
JsonSchema schema = JsonSchema.object()
.property("name", JsonSchema.string()
.description("User's name")
.required(true))
.property("age", JsonSchema.integer()
.minimum(0)
.maximum(150))
.build();Common Patterns
Synchronous Facade
For blocking operations:
McpSyncServer syncServer = server.toSyncServer();
syncServe🎯 Best For
- UI designers
- Product designers
- Claude users
- GitHub Copilot users
- Software engineers
💡 Use Cases
- Generating component mockups
- Creating design system tokens
- React component optimization
- Hook dependency audits
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Java MCP Expert to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
Is Java MCP Expert compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Java MCP Expert?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Java MCP Expert?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/java-mcp-expert/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping usability testing
AI-generated designs should be validated with real users before development.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.