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MCP ConfigsMay 14, 2026·2 min de lecture
IAM Policy Autopilot — CLI + MCP for AWS IAM
IAM Policy Autopilot generates baseline IAM policies from source code via CLI or MCP; verified 357★ and supports stdio/http transports.
Prêt pour agents
Staging sûr pour cet actif
Cet actif est d'abord staged. Le prompt copié demande à l'agent d'inspecter les fichiers staged avant d'activer scripts, config MCP ou config globale.
Stage only · 17/100Policy : staging
Surface agent
Tout agent MCP/CLI
Confiance
Confiance : Established
Commande de staging sûr
npx -y tokrepo@latest install 27f7518e-239c-5a07-8880-4ef8cf764522 --target codexStage les fichiers d'abord; l'activation exige la revue du README et du plan staged.
Introduction
IAM Policy Autopilot generates baseline IAM policies from source code via CLI or MCP; verified 357★ and supports stdio/http transports.
Best for: AWS teams who want deterministic policy scaffolding and faster AccessDenied debugging with an AI assistant
Works with: Python/Go/TS/JS/Java AWS SDK codebases; works with MCP clients via mcp-server
Setup time: 10-20 minutes
Key facts (verified)
- GitHub: 357 stars · 38 forks · pushed 2026-05-13.
- License: Apache-2.0 · owner avatar + repo URL verified via GitHub API.
- README-backed entrypoint:
iam-policy-autopilot mcp-server --transport stdio.
Main
Treat output as a baseline: review policies before deployment and narrow resources/conditions to your actual boundaries.
Use CLI explanations to trace why actions were included; keep that explanation as evidence in code review.
Prefer MCP integration for agent workflows, but still enforce least privilege at the IaC layer (ARNs, boundaries, SCPs).
Source-backed notes
- README lists three CLI commands:
generate-policies, fix-access-denied, and mcp-server.
- README notes
mcp-server supports stdio (default) and http transports (example: --transport http).
- README describes deterministic local code analysis to generate identity-based policies across multiple languages.
FAQ
- Does this guarantee least privilege?: No — it generates a baseline; you still need review and resource scoping.
- What if resources are chosen at runtime?: README notes it can’t predict dynamic values; add conditions/ARN constraints manually.
- Should I use CLI or MCP?: Use CLI for one-offs; use MCP when an agent should call tools during iteration.
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