by Azure-Samples · MCP Server · ★ 923
✨ AI Gateway Labs Explore the enterprise-grade gateway for managing AI Models, Tools, and Agents 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 powered by Azure API Management provides: 🔐 Security — OAuth 2.0, managed identities, content safety filtering ⚡ Performance — Load balancing, semantic caching, request routing 📊 Observab
| Stars | 923 |
| Forks | 451 |
| Language | Jupyter Notebook |
| Category | MCP Server |
| License | MIT |
| Quality Score | 50.252/100 |
| Open Issues | 32 |
| Last Updated | 2026-05-18 |
| Created | 2024-04-03 |
| Platforms | mcp |
| Est. Tokens | ~7393k |
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AI-Gateway is Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀. It is categorized as a MCP Server with 923 GitHub stars.
AI-Gateway is primarily written in Jupyter Notebook. It covers topics such as a2a, agents, apimanagement.
You can find installation instructions and usage details in the AI-Gateway GitHub repository at github.com/Azure-Samples/AI-Gateway. The project has 923 stars and 451 forks, indicating an active community.
AI-Gateway is released under the MIT license, making it free to use and modify according to the license terms.