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
基本情報
FastAPI MCP server on Azure App Service
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"remote-mcp-webapp-python": {
"command": "uv",
"args": [
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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