What are the requirements to run this server?
Python 3.12+ and `uv` for package/virtual environment management. Docker is optional but required for container execution.
@stevearagonsite
基本信息
A template repository for MCP
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"PythonServerMcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}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。
An MCP (Model Context Protocol) server that provides real-time cryptocurrency price information using the CoinMarketCap API. It is built with Python and the MCP framework, designed for clients that need structured crypto price data.
Install dependencies with uv sync, configure a .env file with your COINMARKETCAP_API_KEY and ENVIRONMENT setting, then run python main.py locally or build and run a Docker container. The server communicates via stdio (MCP transport) and can be added to an MCP client’s mcp.json file.
Python 3.12+ and `uv` for package/virtual environment management. Docker is optional but required for container execution.
Create a `.env` file in the project root with `COINMARKETCAP_API_KEY=your_api_key_here`. Optionally set `ENVIRONMENT` to LOCAL, DEV, STAGING, or PROD.
Ensure dependencies are installed (`uv sync`), then run `python main.py`. The server listens on stdio for MCP requests.
Build the image with `docker build -t mcp/python-server-mcp -f Dockerfile .`, then run it interactively with `docker run -i --rm mcp/python-server-mcp`. Add the container configuration to your client’s `mcp.json`.
Define the tool function in `src/__init__.py`, register it using the `@server.add_tool` decorator in `main()`, and document it with docstrings.

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