What runtime does the MCP server use?
The MCP server runs on Azure Functions with Python 3.11 on the Flex Consumption plan.
@Azure-Samples
基本情報
Azure API Management as AI Gateway to Remote MCP servers.
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-apim-functions-python": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
This is an experimental sample that uses Azure API Management as an AI Gateway for MCP (Model Context Protocol) servers. It implements the latest MCP Authorization specification, deploying a secure multi-layered MCP server infrastructure on Azure with authentication, authorization, and request routing managed through Azure API Management.
Deploy the infrastructure using the azd up command after registering the Microsoft.App resource provider. Then connect an MCP client (e.g., MCP Inspector) using SSE transport to the API Management SSE endpoint displayed after deployment.
The MCP server runs on Azure Functions with Python 3.11 on the Flex Consumption plan.
The MCP server uses Server-Sent Events (SSE) transport, with the endpoint at `/mcp/sse`.
Authentication follows the MCP Authorization specification using OAuth 2.0 with PKCE, integrated with Entra ID (Azure Active Directory). Session keys are encrypted and stored in API Management cache.
API Management acts as the central security gateway, handling OAuth flows, request validation, header injection, and secure proxying to the backend Azure Function.
Deploy using `azd up` from the GitHub sample repository. Test with the MCP Inspector tool by connecting to the SSE endpoint.

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