跳到正文
cccskills
免费在 GitHub 公开

java-mcp-server-generator

Build a Java MCP server, a service that lets AI agents call Java code, APIs, or databases. The skill prepares a Maven or Gradle project, implements tools, adds tests, and configures client connections.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Use this skill when the user wants to create a Model Context Protocol (MCP) server in Java or in a Spring Boot app. Also use it when the user wants AI agents, such as GitHub Copilot or Claude, to use Java code, an API, or a database. Use it even if the user does not say "MCP". The skill makes a Maven or Gradle project with the MCP Java SDK 2.x, tools, JUnit tests, and client configuration. Do not use it for an MCP client or for a server in another language.

集成工具GitHub
查看安装方法

适用场景

  • Expose existing Java code to AI agents
  • Connect agents to APIs or databases
  • Build an MCP server in Spring Boot
  • Prepare server tests and client configuration

包含的文件(3)

  • SKILL.md13.2 KB
  • references/gradle.md2.3 KB
  • references/streamable-http.md5.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Java MCP Server Generator

Create a Model Context Protocol (MCP) server in Java with the official MCP Java SDK 2.x. SDK 2.0.x supports the MCP specification revision 2025-11-25 and the earlier revisions. SDK 3.x will add the revision 2026-07-28.

Workflow

Copy this checklist and track your progress:

  • Step 1: Create the project.
  • Step 2: Write the server.
  • Step 3: Write the tests.
  • Step 4: Build until the tests pass.
  • Step 5: Configure the client.

Step 1: Create the project

Use Maven by default. If the project uses Gradle or the user asks for Gradle, read references/gradle.md. Use it for Step 1, Step 4, and Step 5.

Make this layout:

project-name/
├── pom.xml
└── src/
    ├── main/java/com/example/McpServerApp.java
    └── test/java/com/example/McpServerAppTest.java

Write pom.xml:

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>

  <groupId>com.example</groupId>
  <artifactId>mcp-server-demo</artifactId>
  <version>0.1.0</version>

  <properties>
    <maven.compiler.release>17</maven.compiler.release>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
  </properties>

  <dependencyManagement>
    <dependencies>
      <dependency>
        <groupId>io.modelcontextprotocol.sdk</groupId>
        <artifactId>mcp-bom</artifactId>
        <version>2.0.1</version>
        <type>pom</type>
        <scope>import</scope>
      </dependency>
      <dependency>
        <groupId>org.junit</groupId>
        <artifactId>junit-bom</artifactId>
        <version>6.1.3</version>
        <type>pom</type>
        <scope>import</scope>
      </dependency>
    </dependencies>
  </dependencyManagement>

  <dependencies>
    <dependency>
      <groupId>io.modelcontextprotocol.sdk</groupId>
      <artifactId>mcp</artifactId>
    </dependency>
    <dependency>
      <groupId>org.slf4j</groupId>
      <artifactId>slf4j-simple</artifactId>
      <version>2.0.17</version>
      <scope>runtime</scope>
    </dependency>
    <dependency>
      <groupId>org.junit.jupiter</groupId>
      <artifactId>junit-jupiter</artifactId>
      <scope>test</scope>
    </dependency>
  </dependencies>

  <build>
    <plugins>
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-shade-plugin</artifactId>
        <version>3.6.2</version>
        <executions>
          <execution>
            <phase>package</phase>
            <goals>
              <goal>shade</goal>
            </goals>
            <configuration>
              <createDependencyReducedPom>false</createDependencyReducedPom>
              <transformers>
                <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
                  <mainClass>com.example.McpServerApp</mainClass>
                </transformer>
              </transformers>
            </configuration>
          </execution>
        </executions>
      </plugin>
    </plugins>
  </build>
</project>
  • The mcp artifact contains mcp-core and the Jackson 3 JSON mapper mcp-json-jackson3.
  • slf4j-simple writes the SDK logs to stderr.
  • The shade plugin makes one executable JAR with all dependencies.

Step 2: Write the server

Start from this template:

package com.example;

import java.util.List;
import java.util.Map;

import io.modelcontextprotocol.json.McpJsonDefaults;
import io.modelcontextprotocol.server.McpServer;
import io.modelcontextprotocol.server.McpServerFeatures.SyncToolSpecification;
import io.modelcontextprotocol.server.transport.StdioServerTransportProvider;
import io.modelcontextprotocol.spec.McpSchema.CallToolResult;
import io.modelcontextprotocol.spec.McpSchema.ServerCapabilities;
import io.modelcontextprotocol.spec.McpSchema.Tool;

public final class McpServerApp {

    static SyncToolSpecification divideTool() {
        Tool tool = Tool.builder("divide", Map.of(
                        "type", "object",
                        "properties", Map.of(
                                "a", Map.of("type", "number", "description", "Dividend"),
                                "b", Map.of("type", "number", "description", "Divisor")),
                        "required", List.of("a", "b")))
                .description("Divide a by b.")
                .build();

        return SyncToolSpecification.builder()
                .tool(tool)
                .callHandler((exchange, request) -> {
                    double a = ((Number) request.arguments().get("a")).doubleValue();
                    double b = ((Number) request.arguments().get("b")).doubleValue();
                    if (b == 0) {
                        return CallToolResult.builder().addTextContent("b must not be zero.").isError(true).build();
                    }
                    return CallToolResult.builder().addTextContent(String.valueOf(a / b)).build();
                })
                .build();
    }

    public static void main(String[] args) {
        McpServer.sync(new StdioServerTransportProvider(McpJsonDefaults.getMapper()))
                .serverInfo("demo", "0.1.0")
                .capabilities(ServerCapabilities.builder().tools(false).build())
                .tools(divideTool())
                .build();
    }
}

Then change the template to match the request of the user:

  1. Replace divideTool() with the tools that the user asks for. Make one method for each tool.
  2. Give each tool a JSON Schema inputSchema and a description. The description tells the model when to use the tool.
  3. When the client must get machine-readable data, add .outputSchema(Map) to the tool. Return the data with CallToolResult.builder().structuredContent(map). Also add the same data as text content for older clients.
  4. Mark a read-only tool with .annotations(ToolAnnotations.builder().readOnlyHint(true).build()). Use destructiveHint(true) for a destructive tool.
  5. Add resources, resource templates, and prompts only when the user asks for them. Also enable them in ServerCapabilities.

Use stdio by default. Read references/streamable-http.md only when the user asks for a remote server, an HTTP server, or Spring Boot.

Step 3: Write the tests

The test starts the server as a subprocess and connects to it with the SDK client. Write a test for each tool and for each error result:

package com.example;

import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertTrue;

import java.nio.file.Path;
import java.util.Map;

import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;

import io.modelcontextprotocol.client.McpClient;
import io.modelcontextprotocol.client.McpSyncClient;
import io.modelcontextprotocol.client.transport.ServerParameters;
import io.modelcontextprotocol.client.transport.StdioClientTransport;
import io.modelcontextprotocol.json.McpJsonDefaults;
import io.modelcontextprotocol.spec.McpSchema.CallToolRequest;
import io.modelcontextprotocol.spec.McpSchema.CallToolResult;
import io.modelcontextprotocol.spec.McpSchema.TextContent;

class McpServerAppTest {

    private static McpSyncClient client;

    @BeforeAll
    static void startServer() {
        String java = Path.of(System.getProperty("java.home"), "bin", "java").toString();
        ServerParameters server = ServerParameters.builder(java)
                .args("-cp", System.getProperty("java.class.path"), McpServerApp.class.getName())
                .build();
        client = McpClient.sync(new StdioClientTransport(server, McpJsonDefaults.getMapper())).build();
        client.initialize();
    }

    @AfterAll
    static void stopServer() {
        client.close();
    }

    @Test
    void divide() {
        CallToolResult result = client.callTool(
                CallToolRequest.builder("divide").arguments(Map.of("a", 6, "b", 3)).build());
        assertEquals("2.0", ((TextContent) result.content().get(0)).text());
    }

    @Test
    void divideByZero() {
        CallToolResult result = client.callTool(
                CallToolRequest.builder("divide").arguments(Map.of("a", 1, "b", 0)).build());
        assertTrue(result.isError());
        assertTrue(((TextContent) result.content().get(0)).text().contains("must not be zero"));
    }
}
  • The test uses the java command of the JDK that runs Maven. Do not use the java command from PATH.
  • The test uses the real stdio transport and the real JSON-RPC messages.

Step 4: Build until the tests pass

  1. Run mvn verify. This command compiles the code, runs the tests, and makes target/mcp-server-demo-0.1.0.jar.
  2. If a test fails, read the error. Fix the server or the test.
  3. Run mvn verify again.
  4. Continue only when the build is successful.

Step 5: Configure the client

For VS Code, write .vscode/mcp.json:

{
  "servers": {
    "demo": {
      "type": "stdio",
      "command": "java",
      "args": ["-jar", "/absolute/path/to/project/target/mcp-server-demo-0.1.0.jar"]
    }
  }
}

For Claude Desktop, put the same command and args in claude_desktop_config.json, below the mcpServers key.

For an HTTP server, use the client configuration in references/streamable-http.md.

Tell the user these facts:

  • java -jar target/mcp-server-demo-0.1.0.jar starts the stdio server. The server waits for a host on stdin. The SDK logs go to stderr.
  • To test the server manually, start the MCP Inspector with the same command. The Inspector uses Node.js.

Gotchas

SDK 2.x changed many patterns of SDK 0.x and 1.x. Do not copy examples from earlier versions. Read the migration guide for the full list.

  • Use the builders that take the required fields first: Tool.builder(name, inputSchema), Resource.builder(uri, name), Prompt.builder(name), TextContent.builder(text), and ReadResourceResult.builder(contents). The builders without arguments are deprecated.
  • A required field must not be null. A null value causes an IllegalArgumentException.
  • Tool names must have 1 to 128 characters: letters, digits, _, -, and .. The server builder rejects an incorrect name with an IllegalArgumentException. addTool() at runtime does not check the name.
  • inputSchema and outputSchema are Map<String, Object> values. The JsonSchema record is deprecated.
  • The server checks each schema against JSON Schema 2020-12 when you call build() or addTool(). An incorrect schema causes an IllegalArgumentException.
  • The SDK validates the tool arguments against inputSchema. It also validates structuredContent against outputSchema. If the validation fails, the client gets a tool result with isError set to true. Thus, the handler gets only valid arguments.
  • If a tool has an outputSchema, return structuredContent in each successful result. Without it, the SDK returns a tool result with isError set to true.
  • Return CallToolResult with isError(true) for an error that the model must read.
  • Do not throw an exception or an McpError for a tool failure. The client gets a JSON-RPC error, not a tool result. Many hosts do not show this error to the model.
  • In a stdio server, stdout is the protocol channel. Do not call System.out.println().
  • Log with SLF4J to stderr. The default console appender of Logback writes to stdout. If you use Logback, set its target to System.err.
  • The Spring transports moved to Spring AI 2.0 and later (group org.springframework.ai). Do not use the io.modelcontextprotocol.sdk:mcp-spring-* artifacts.
  • Do not use the deprecated SSE transports. Use Streamable HTTP for a remote server.
  • The revision 2026-07-28 deprecates these features (SEP-2577). Do not add them to a new server:
    • Sampling (exchange.createMessage()): Call the LLM provider API directly.
    • Protocol logging (exchange.loggingNotification()): Use SLF4J.
    • Roots (exchange.listRoots()): Get paths from tool arguments, resource URIs, or the server configuration.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Map an existing codebase into seven documents covering its technology, structure, architecture, conventions, integrations, tests, and concerns. Link findings to file evidence, mark unknowns, and highlight differences between stated plans and the actual implementation.

中文简介正在准备中。当前显示英语简介。

  • Get oriented in an unfamiliar codebase
  • Prepare documentation for a project handover
  • Compare documented architecture with implementation
github/awesome-copilot4万2026年10月17日 更新

Assess a repository’s readiness for AI agents with AgentRC and generate a standalone HTML dashboard. Review scores across nine areas, see prioritized improvements, and optionally apply scoring policies tailored to an organization.

中文简介正在准备中。当前显示英语简介。

  • Assessing a repository’s readiness for AI agents
  • Prioritizing improvements from assessment results
  • Reviewing scores under an organization’s own policy
github/awesome-copilot4万2026年10月17日 更新

Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.

中文简介正在准备中。当前显示英语简介。

  • Create project instructions for VS Code Copilot
  • Refresh agent rules after project changes
  • Split monorepo instructions by project area
github/awesome-copilot4万2026年10月17日 更新

Customize AgentRC readiness assessments to match team or organization standards. Choose or create policies that adjust check importance, disable irrelevant checks, set pass thresholds, and define requirements for automated checks in CI workflows.

中文简介正在准备中。当前显示英语简介。

  • Set shared readiness standards across an organization
  • Focus assessments on AI tooling
  • Adjust the importance of individual checks
github/awesome-copilot4万2026年10月17日 更新

Analyze supplied ad performance data to identify wasted spend, strong campaigns, and next tests. Compare channels, assess whether test differences are meaningful, and produce budget reallocation recommendations with a prioritized action plan.

中文简介正在准备中。当前显示英语简介。

  • Identify ads and keywords to pause
  • Find campaigns and audiences worth scaling
  • Assess whether A/B test results are meaningful
github/awesome-copilot4万2026年10月17日 更新

Turn code files into learning resources by adding comments that explain syntax, programming concepts, and design choices. Adjust explanation depth and repetition to the reader’s knowledge while preserving file structure, encoding, and syntax.

中文简介正在准备中。当前显示英语简介。

  • Add beginner-friendly explanations to existing code
  • Document the reasoning behind syntax and design choices
  • Adjust comment depth for readers with different experience
github/awesome-copilot4万2026年10月17日 更新

查看 github 的全部技能

报告此技能的问题