ProtocolReferenceMCPA2A

AI-Gateway

Name: AI-Gateway
Rating: 3.1 (954 reviews)
Author: Azure-Samples

by Azure-Samples

Reference labs for running MCP servers and agent gateways on Azure

Jupyter Notebook

Updated Jul 10, 2026

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Overview

Explores building an AI Gateway that routes agent-to-agent and model traffic through Azure API Management and Microsoft Foundry. Provides labs showing MCP server setups, agent wiring, and how to expose models and agents behind an API gateway. Includes examples and notebooks that demonstrate end-to-end request routing, authentication, and telemetry hooks for MCP-based agents. Model Context Protocol (MCP)

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Key Benefits

As agents communicate across services, a gateway and protocol-compatible MCP server become essential for operator control and visibility. This repo shows how to place API management and gateway patterns in front of agents, enabling access control, routing, and observability—practical infrastructure pieces that make multi-agent deployments safer and auditable. For teams adopting agent-to-agent protocols, having a reference gateway implementation clarifies where trust, logging, and governance belong in the stack. See the Agent Service Mesh Pattern for related architectural guidance.

Ideal For

Engineers prototyping MCP-based agent deployments who need a reference gateway pattern and Azure integration examples. This workflow aligns with the Orchestrator-Worker Pattern for scalable task delegation, and the Agent Registry Pattern to manage agent identities and capabilities.

How It's Used

Prototype an MCP server and connect agents behind Azure API Management
Demonstrate agent routing, authentication, and telemetry through a gateway
Validate deployment patterns for exposing models and agents in enterprise networks