Rentaoshu's test MCP weather server.
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# MCP服务开发、测试、发布全流程 ## 1、在某个conda环境中(比如llm-mcp)，安装好uv： pip install uv ## 2、PyCharm项目初始化为uv项目： uv init . ## 3、创建、激活虚拟环境 uv venv source .venv/bin/activate ## 4、安装 MCP SDK uv add openai dotenv mcp ## 5、创建项目源代码 ### 创建src/weather 文件夹 #### 添加 server.py 文件 ## 6、本地测试（使用Inspector进行） ### 安装nodejs curl -fsSL https://deb.nodesource.com/setup_20.x | sudo bash - sudo apt install -y nodejs ### 运行Inspector npx -y @modelcontextprotocol/inspector uv run ./src/weather/server.py --api_key apikey123abc ## 7、打包 ### 添加__init__.py、__main__.py ### 修改pyproject.toml文件 #### 填写内容，注意[project.scripts]中的rents-mcp-weather2名称： [build-system] requires = ["setuptools>=61.0", "wheel"] build-backend = "setuptools.build_meta" [project.scripts] rents-mcp-weather2 = "weather:main" [tool.setuptools] package-dir = {"" = "src"} [tool.setuptools.packages.find] where = ["src"] ### 安装打包/发布(上传)工具包 uv pip install build twine ### 打包（回到项⽬主⽬录） cd /Users/rents/PycharmProjects/rents-mcp-weather python -m build ## 8、发布 python -m twine upload dist/*
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