What data sources does MCP Server integrate?
It uses exchangerate-api.com for USD exchange rates, openweathermap.org for weather forecasts, and newsapi.org for recent news articles.
@Cavumnigrum
基本信息
Test MCP server that can do several things
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"test_MCPServer": {
"command": "python",
"args": [
"-m",
"venv",
"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。
MCP Server is a Python-based MCP (Model Context Protocol) server that provides the current USD exchange rate, weather forecast, and news from the last week. It is intended for developers who want to integrate these external data sources into MCP-compatible applications.
Clone the repository, create a Python virtual environment, install dependencies, and set up API keys for exchangerate-api, openweathermap, and newsapi in a .env file. Run the server with python mcp_server.py – it becomes available at http://localhost:8000. A self‑written client can be launched with python mcp_client.py. Docker deployment is also supported via docker-compose.
pytest.It uses exchangerate-api.com for USD exchange rates, openweathermap.org for weather forecasts, and newsapi.org for recent news articles.
You need to register and obtain API keys from exchangerate-api.com, openweathermap.org, and newsapi.org. Place them in a `.env` file following the `.env.example` template.
After installing dependencies and configuring keys, run `python mcp_server.py`. The server will listen on `http://localhost:8000`.
Yes, a self‑written client is provided. Run `python mcp_client.py` and follow the in‑program instructions to use it.
Yes. The repository includes Docker and docker-compose files. Use `docker-compose up -d server` to start the server and `docker-compose run --rm client` to run the client interactively.

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