What is MCP in this project?
MCP stands for Model Control Protocol, a standard for exposing tools and services to AI models. This project demonstrates a Spring Boot implementation of MCP.
MCP Server Demo 项目文档
@liqingdong
Basic information
About MCP Server Demo 项目文档
一个基于Spring Boot 的MCP（Model Control Protocol）服务示例项目
MCP Server Demo 项目文档 config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryMCP Server Demo 项目文档 tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCP Server Demo 项目文档?
MCP Server Demo 项目文档 is a Spring Boot 3.4.4 example project that implements the Model Context Protocol (MCP) for exposing intelligent services. It integrates the Spring AI tool chain and provides templates for numeric operations and weather query services. This project is intended for developers learning or prototyping MCP-based tool servers.
How to use MCP Server Demo 项目文档?
Clone the repository from GitHub and build with mvn clean install. Run the JAR file using either STDIO mode (-Dspring.ai.mcp.server.stdio=true) or SSE mode (default on http://localhost:8081/sse). Connect a compatible MCP client, such as Cherry Studio, to invoke the exposed tools.
Key features of MCP Server Demo 项目文档
- NumberService: even/odd checking and prime detection (extensible).
- WeatherService: mock weather data (random numbers, requires real API integration).
- Services exposed as MCP tools via
@Tooland@ToolParamannotations. - Supports both STDIO and SSE transport protocols.
- Built with Spring Boot 3.4.4 and MCP version 0.7.0.
- Includes unit test classes for application context and MCP protocol testing.
Use cases of MCP Server Demo 项目文档
- Learning how to build an MCP server with Spring AI.
- Prototyping numeric validation tools for AI workflows.
- Demonstrating weather data integration patterns in an MCP environment.
- Testing STDIO and SSE transport modes with MCP clients.
Frequently asked questions
What are the runtime requirements?
JDK 17+, Maven 3.8+, and an IDE (IntelliJ IDEA recommended) are required to build and run the server.
Does the weather service return real data?
No. The current weather service uses random number generation as placeholder data. A real implementation would require integration with a third-party API such as OpenWeatherMap.
What transport protocols are supported?
The server supports two modes: STDIO (standard input/output) and SSE (Server-Sent Events). STDIO is enabled with the `-Dspring.ai.mcp.server.stdio=true` flag; SSE runs on port 8081 by default.
How is the server tested?
The project includes `McpApplicationTest` for context loading, and `SSEMcpTest`/`StdioMcpTest` for protocol-specific MCP service tests.
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