by Azure-Samples · MCP Server · ★ 986
✨ AI Gateway Labs Explore the enterprise-grade gateway for managing AI Models, Tools, and Agents 📰 New! The AI Gateway Dev Portal is now live — A starting point for building your own developer portal on top of Azure API Management AI Gateway's. Fork it, open it in VS Code with GitHub Copilot (or any coding agent), and shape it to fit your needs! 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.
| Stars | 986 |
| Forks | 514 |
| Language | Jupyter Notebook |
| Category | MCP Server |
| License | MIT |
| Quality Score | 40.75/100 |
| Open Issues | 80 |
| Last Updated | 2026-09-16 |
| Created | 2024-04-03 |
| Platforms | mcp |
| Est. Tokens | ~7417k |
These tools work well together with AI-Gateway for enhanced workflows:
Explore other popular mcp server tools:
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 986 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 986 stars and 514 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.