Azure Aigateway
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.
[ INSTALL ]
Install this skill
Use the open skills CLI to add this package to Claude Code, Codex, Cursor, or other skill-aware agents. Bifrost does not host or serve this public skill; always install from the upstream source.
npx skills add microsoft/azure-skills
[ ABOUT ]
What this skill is for
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway. Teams typically use it when they want reusable agent instructions without rewriting prompts for every session. Review the full SKILL.md on the source repository before installing in production environments.
| Property | Details |
|---|---|
| Name | azure-aigateway |
| Source | microsoft/azure-skills |
| Owner | microsoft |
| Category | DevOps |
| Installs | 563.8K |
| License | MIT |
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