by Azure-Samples · MCP Server · ★ 970
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✨ 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 | 970 |
| Forks | 497 |
| Language | Jupyter Notebook |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.170149117301/100 |
| Open Issues | 75 |
| Last Updated | 2026-08-07 |
| Created | 2024-04-03 |
| Platforms | mcp |
| Est. Tokens | ~18k |
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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 970 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 970 stars and 497 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.
The top alternatives to AI-Gateway on Agent Skills Hub include archestra, skills, LightAgent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.