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
Basic information
Azure API Management as AI Gateway to Remote MCP servers.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"remote-mcp-apim-functions-python": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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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