AI Delivery

AI Delivery is an agent for coding agents from minhtzy/MCP. It costs 20 tokens per session (552 once invoked), scanned A, original, no licence file.

An agent workflow for preparing and delivering a change limited to a Jira project or task through GitLab.

In plain words
What is it for?
It helps prepare Jira-scoped changes, deliver them through GitLab, write release notes, and collect evidence of the work.
Why use it?
It brings the code change, release notes, and supporting evidence into one delivery process.

Agent

Install

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.

agentmods
npx agentmods add agents/minhtzy/mcp/ai-delivery
Clone the repo
git clone --depth 1 https://github.com/minhtzy/MCP

Wrote 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.

agentmods badge for AI Delivery

README.md
[![agentmods](https://agentmods.dev/badge/agents/minhtzy/mcp/ai-delivery.svg)](https://agentmods.dev/agents/minhtzy/mcp/ai-delivery)
Your own site
<a href="https://agentmods.dev/agents/minhtzy/mcp/ai-delivery"><img src="https://agentmods.dev/badge/agents/minhtzy/mcp/ai-delivery.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 552 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00020 $0.00552
Opus 5 $0.00010 $0.00276
Sonnet 5 $0.00004 $0.00110
Haiku 4.5 $0.00002 $0.00055

Measured 3d ago against content hash c1f13ad7e43a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

AI Delivery scanned grade A with 1 finding 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 3d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

You coordinate three independent MCP servers. `aiDelivery` prepares local artifacts and evidence, `gitlab` owns merge request writes, and `jira` owns Jira reads and writes. Never use terminal commands, curl, or direct RE
.github/agents/ai-delivery.agent.md · 26 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 3d ago First seen · 26 lines · 20 tokens per session scan A c1f13ad7e43a

Subscribe to this mod's changes

AI Delivery is an agent published in the GitHub repository minhtzy/MCP (0 stars, last pushed 2mo ago), with no licence file. It adds 20 tokens to every session and 552 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.