Azure-Samples/AI-Gateway

Score: 48.1 Rank #300

Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀

Overview

Azure-Samples/AI-Gateway is a Jupyter Notebook MCP server licensed under MIT. Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀 Topics: apimanagement, azure, openai, openai-api, genai, agents, autogen, foundry, mcp, mcp-server, a2a.

Ranked #300 out of 25632 indexed tools.

In the top 2% of all indexed tools.

Has 41 contributors.

Actively maintained with commits in the last week.

Ecosystem

Jupyter Notebook MIT

apimanagementazureopenaiopenai-apigenaiagentsautogenfoundrymcpmcp-servera2a

Signal Breakdown

Stars 886

Freshness 3d ago

Issue Health 28%

Contributors 41

Dependents 0

Forks 400

Description Good

License MIT

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Issue Health high impact

You have 53 open vs 21 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge

AgentRank score for Azure-Samples/AI-Gateway

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Details

Stars: 886
Forks: 400
Open Issues: 53
Closed Issues: 21
Contributors: 41
Dependents: —
Language: Jupyter Notebook
License: MIT
Last Commit: 3d ago

Matched Queries

"mcp server""mcp-server"

From the README

<div align="center">

# ✨ AI Gateway Labs

### Explore the enterprise-grade gateway for managing AI Models, Tools, and Agents

<br/>

</div>

## Why AI Gateway?

Building production-ready AI applications requires more than just calling model APIs. You need **security**, **reliability**, **observability**, and **cost control**—without slowing down innovation.

[**AI Gateway**](https://learn.microsoft.com/azure/api-management/genai-gateway-capabilities) powered by [Azure API Management](https://learn.microsoft.com/en-us/azure/api-management/) provides:

- 🔐 **Security** — OAuth 2.0, managed identities, content safety filtering
- ⚡ **Performance** — Load balancing, semantic caching, request routing
- 📊 **Observability** — Token metrics, built-in logging, tracing
- 💰 **Cost Control** — Rate limiting, quota management, FinOps framework
- 🔌 **Extensibility** — MCP protocol support, function calling, multi-model routing

## 📚 Explore the Labs

> **🔗 Browse all 30+ labs at [aka.ms/ai-gat

Read full README on GitHub →

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