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Weather Microservice with MCP + UV

@hightower9

代码仓库

基本信息

分类

媒体与设计

传输方式

stdio

作者

hightower9

关于 Weather Microservice with MCP + UV

暂无概览

#weather-microservice#api#docker

Weather Microservice with MCP + UV 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "weather-mcp-server-hightower9": {
      "command": "uv",
      "args": [
        "run",
        "mcp",
        "dev",
        "server.py"
      ]
    }
  }
}

Weather Microservice with MCP + UV 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 🌤️ Weather Microservice with MCP + UV?

A lightweight, MCP-powered weather API service that uses uv for Python dependency management and Docker for containerized deployment. It is built for seamless local development, Claude Desktop integration, and scalable deployment.

How to use 🌤️ Weather Microservice with MCP + UV?

Run the server in development mode with hot reload using uv run mcp dev server.py. For Claude Desktop integration, install the server with uv run mcp install server.py. For production, build and run the Docker image with docker build -t weather-service . and docker run --env-file .env -p 6274:6274 weather-service.

Key features of 🌤️ Weather Microservice with MCP + UV

  • Fast local development with live reload using uv and mcp
  • Dockerized for production or staging environments
  • Claude Desktop integration‑ready
  • Loads secrets securely from .env or environment variables

Use cases of 🌤️ Weather Microservice with MCP + UV

  • Rapid prototyping of a weather API with hot‑reload support
  • Integration with Claude Desktop for conversational weather queries
  • Containerized deployment to cloud or on‑premises infrastructure
  • Local development with dependency management via uv

常见问题

1

What dependencies are required to run this server?

The server requires Python and the `mcp` package, managed via `uv`. Additional dependencies like `pandas` and `numpy` can be added on the fly with `--with` flags.

2

How do I set environment variables for the server?

Create a `.env` file in the project root with variables such as `API_KEY` and `DB_URL`, or inject them via the `-v` flag when installing to Claude Desktop.

3

How do I run the server in development mode?

Use `uv run mcp dev server.py` to start with hot reload. Optionally add `--with pandas --with numpy` to include extra dependencies.

4

Can I deploy this server in a container?

Yes, build the Docker image with `docker build -t weather-service .` and run it with `docker run --env-file .env -p 6274:6274 weather-service`.

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