What environment is needed to run Simple MCP Server?
Java 17 or later, Maven 3.6 or later, and understanding of Spring Boot/Spring AI concepts are required. An MCP client (e.g., Cherry Studio, Cline, Claude Desktop) is also needed.
@xiaobo187
Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
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Simple MCP Server is an example project that demonstrates how to build an MCP (Model Context Protocol) server in a minimal way. It integrates with the Amap (Gaode) weather API to provide real-time and forecast weather data. This server is intended for developers who want to learn MCP server implementation or need a basic weather‑query AI tool.
Build the server jar with ./mvnw clean install -DskipTests (requires Java 17+ and Maven 3.6+). Then configure an MCP‑capable client (e.g., Cherry Studio) with STDIO transport, pointing to the built jar. Set the environment variable GAODE_API_KEY with your Amap Web API key (32‑character key). In the client, select a large language model that supports Function Call (marked with a 🔧 icon in Cherry Studio), enable the MCP server, and then ask weather‑related questions.
Java 17 or later, Maven 3.6 or later, and understanding of Spring Boot/Spring AI concepts are required. An MCP client (e.g., Cherry Studio, Cline, Claude Desktop) is also needed.
Register an account at the Amap Open Platform console, apply for a Web API key, and set it as the `GAODE_API_KEY` environment variable.
The client must use a model that supports Function Call (marked with a 🔧 icon in Cherry Studio, e.g., `Qwen2.5-7B-Instruct` provided by SiliconFlow).
It uses STDIO transport mode and is typically started automatically by the client.
Run `./mvnw clean install -DskipTests` from the project root. The resulting jar is located at `target/mcp-weather-stdio-server-0.0.1-SNAPSHOT.jar`.

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