AI-DLC Workflows is a reusable software-development lifecycle that guides AI coding agents through staged engineering work and human approval gates. Teams use it to run structured, reviewable development processes across several coding-agent environments, and the catalogue entries are its agents, skills, rules, MCP integrations, and instructions.
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/awslabs/aidlc-workflowsWrote 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/mcp/awslabs/aidlc-workflows/claude-aws-iac)<a href="https://agentmods.dev/mcp/awslabs/aidlc-workflows/claude-aws-iac"><img src="https://agentmods.dev/badge/mcp/awslabs/aidlc-workflows/claude-aws-iac.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
aws-iac 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 6d 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.
The source is not reproduced here
Licensed MIT-0
The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What else .mcp.json configures
This page is one entry in a file that holds 5. Installing the file brings all of them; each is measured and scanned on its own page.
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.
- 6d ago First seen · 8 lines scan A cce837d59bd8
aws-iac is an MCP server published in the GitHub repository awslabs/aidlc-workflows (4,414 stars, last pushed today), licensed MIT-0. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. 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 2026-09-02.
Other mcp servers, from other repositories
dataproc
MCP server "dataproc", hosted remotely at dataproc-$gcpregion.googleapis.com, as configured in gemini-cli-extensions/data-agent-kit-starter-pack. Needs 1 environment variable to run.
mcp-pve
Manage Proxmox VE through AI assistants. Runs locally from the @samik081/mcp-pve npm package. Needs 3 environment variables to run.
ssh-licco
SSH Model Context Protocol Server - Enable SSH functionality for AI models. Runs locally from the ssh-licco Python package. Needs 4 environment variables to run.
AWSPrice
MCP server "AWSPrice" as configured in spacehendrix/clauder. Runs locally from the awslabs.aws-pricing-mcp-server@latest Python package. Needs 3 environment variables to run.
CloudflareLogpush
MCP server "CloudflareLogpush", hosted remotely at logs.mcp.cloudflare.com, as configured in spacehendrix/clauder.
terraform
MCP server "terraform" as configured in aws-samples/sample-agentic-chatbot-accelerator. Runs in Docker (hashicorp/terraform-mcp-server:0.5.2).