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Python Server MCP - Cryptocurrency Price Service

@stevearagonsite

基本信息

分类

其他

许可证

GPL-3.0

传输方式

stdio

作者

stevearagonsite

关于 Python Server MCP - Cryptocurrency Price Service

A template repository for MCP

Python Server MCP - Cryptocurrency Price Service 配置

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"
      ]
    }
  }
}

Python Server MCP - Cryptocurrency Price Service 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 Python Server MCP - Cryptocurrency Price Service?

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.

How to use Python Server MCP - Cryptocurrency Price Service?

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.

Key features of Python Server MCP - Cryptocurrency Price Service

  • Real-time cryptocurrency price retrieval via CoinMarketCap
  • Environment‑based configuration (LOCAL, DEV, STAGING, PROD)
  • Docker container deployment for easy distribution
  • Built with Python 3.12+ and the uv package manager
  • Extensible tool‑registration system for adding new endpoints

Use cases of Python Server MCP - Cryptocurrency Price Service

  • Integrate live crypto prices into AI‑powered assistants or chatbots
  • Provide structured price data to automated trading or alerting systems
  • Serve as a backend for personal finance dashboards that track multiple coins
  • Use as a reference MCP server implementation for learning or prototyping

常见问题

1

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.

2

How do I configure the CoinMarketCap API key?

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.

3

How do I run the server locally?

Ensure dependencies are installed (`uv sync`), then run `python main.py`. The server listens on stdio for MCP requests.

4

How can I build and run this server with Docker?

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`.

5

How can I add a new tool to the server?

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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