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Use when building MCP (Model Context Protocol) servers in Java/Spring Boot. Covers tool registration, resource exposure, prompt templates, and production deployment using the official MCP Java SDK. Use when user mentions MCP, AI agent integration, or tool calling.
Passed 23 of 23 test cases with the skill, and 11 of 23 without it.
and 14 more in the full report
12 fixed11 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
A newer attempt on gemini-3.8-flash on 10/18/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are building a remote servlet-based Spring Boot MVC web application that exposes MCP capabilities over HTTP. Which Spring AI MCP server starter dependency should we include in pom.xml to enable Servlet MVC transport support?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies spring-ai-starter-mcp-server-webmvc for Spring MVC remote web deployments. | Missed | Passed |
The instructions your model reads when the skill loads.
Prefer the Spring AI MCP server starters in a Spring Boot application. Let the Spring AI BOM manage its MCP SDK dependency; do not force the standalone SDK version into a starter-based application.
<!-- Pick exactly one transport starter. -->
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-starter-mcp-server</artifactId>
</dependency>
<!-- Remote MVC: spring-ai-starter-mcp-server-webmvc -->
<!-- Remote reactive: spring-ai-starter-mcp-server-webflux -->
For a raw SDK application without Spring AI, use the current MCP Java SDK 2.x release and follow its migration guide. Do not assume raw SDK examples match the version managed by Spring AI 1.x.
<dependency>
<groupId>io.modelcontextprotocol.sdk</groupId>
<artifactId>mcp</artifactId>
<version>2.0.0</version>
</dependency>
Spring AI 1.0.x exposes @Tool methods only through an explicit MethodToolCallbackProvider —
a bare @Component with @Tool methods registers nothing. Spring AI 1.1.x additionally supports
native @McpTool/@McpToolParam with spring.ai.mcp.server.annotation-scanner.enabled=true,
imported from org.springaicommunity.mcp.annotation (Spring AI 2.0 moved them to
org.springframework.ai.mcp.annotation). Pick one registration path per tool.
@Configuration
class McpToolsConfiguration {
@Bean
test cases passed, vs 11 / 23 without
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