Azure AI Gateway is an Azure API Management tier that gives applications one governed way to call AI model APIs and MCP tools while platform teams apply security, policy, networking, and observability controls. It is used by developers and platform teams working with models and tools from multiple providers, and the repository's coding-agent plugin discovers registered models and MCP servers to help build applications on an existing gateway.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/Azure/ai-gatewayWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/azure/ai-gateway/gemini-extension)<a href="https://agentmods.dev/plugins/azure/ai-gateway/gemini-extension"><img src="https://agentmods.dev/badge/plugins/azure/ai-gateway/gemini-extension/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/azure/ai-gateway/gemini-extension"><img src="https://agentmods.dev/badge/plugins/azure/ai-gateway/gemini-extension.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
ai-gateway scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "ai-gateway",
"version": "2.0.0",
"description": "Discover the models and MCP tool servers registered in an AI Gateway and integrate them into any application — call a model over the OpenAI-compatible passthrough, connect MCP tools, or scaffold a runnable agent. Read-only against the gateway — consumption only."
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 6 lines scan A c9036c5bffc3
ai-gateway is a plugin published in the GitHub repository Azure/ai-gateway (5 stars, last pushed 18d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-16.
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