What tools are available in MCP Server - FastAPI on Azure App Service?
The server exposes five tools: `multiply`, `celsius_to_fahrenheit`, `fahrenheit_to_celsius`, `get_alerts`, and `get_forecast`.
@madebygps
基本信息
FastAPI MCP server on Azure App Service
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"remote-mcp-webapp-python": {
"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。
MCP Server - FastAPI on Azure App Service is a Python implementation of the Model Context Protocol (MCP) server built with FastAPI. It provides multiplication, temperature conversion, and US weather alert/forecast tools, and is designed for deployment to Azure App Service.
Run locally: create a virtual environment (uv venv), activate it, install dependencies (uv pip install -r requirements.txt), then start with uvicorn main:app --reload. Deploy to Azure using azd up from the project root. The MCP endpoint is at /mcp-server/mcp using streamable-http transport; no authentication is currently required.
The server exposes five tools: `multiply`, `celsius_to_fahrenheit`, `fahrenheit_to_celsius`, `get_alerts`, and `get_forecast`.
You need Python 3.11+, uv, and optionally Node.js for the MCP Inspector. Create a virtual environment, install dependencies from `requirements.txt`, and run `uvicorn main:app --reload`.
Ensure you have the Azure CLI (`az`) and Azure Developer CLI (`azd`) installed and authenticated. Run `azd up` from the project root to create resources and deploy.
Use streamable-http transport with the URL `https://<your-app>.azurewebsites.net/mcp-server/mcp`. No authentication is currently needed.
Yes. The current implementation has no authentication (public endpoints), CORS is wide open, and production deployments should implement API key or OAuth2 authentication and validate all user inputs.


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