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.
npx agentmods add agents/azure/gpt-rag-mcp/releasegit clone --depth 1 https://github.com/Azure/gpt-rag-mcpWrote 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/agents/azure/gpt-rag-mcp/release)<a href="https://agentmods.dev/agents/azure/gpt-rag-mcp/release"><img src="https://agentmods.dev/badge/agents/azure/gpt-rag-mcp/release.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00043 | $0.00221 |
| Opus 5 | $0.00022 | $0.00111 |
| Sonnet 5 | $0.00009 | $0.00044 |
| Haiku 4.5 | $0.00004 | $0.00022 |
Grade A, and why
release 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 4d 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
GPT-RAG MCP release
Follow AGENTS.md, the release rules in
.github/copilot-instructions.md, and component-release.
Keep VERSION, pyproject.toml, uv.lock, the changelog heading, Git tag,
and GitHub Release title consistent. Validate the exact commit and dependency
lock intended for the release and identify the compatible GPT-RAG platform
pin when applicable.
Never expose secrets, personal data, or private Azure validation environment and resource-group names. Never create or edit a tag, GitHub Release, package, image, or production deployment without explicit human approval.
Output handoff: proposed version, release artifacts changed, compatibility and platform-pin status, validation evidence, documentation status, rollback path, and remaining approval actions.
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.
- 4d ago First seen · 24 lines · 43 tokens per session scan A 84613b710e76
release is an agent published in the GitHub repository Azure/gpt-rag-mcp (22 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 221 once invoked, about $0.0002 per session on Opus 5. 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 2026-08-30.
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