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Establish engineering governance for AI software projects with traceable, auditable workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AI Project OS MCP" yet — see the docs or source repo.
Using the 5S workflow, create an engineering governance plan for an AI-assisted web application. Explain how to manage state, freeze generated results, record audit logs, and define team execution steps.
A structured governance plan covering process rules, state management, freeze strategy, audit requirements, and implementation steps.
Review this AI-generated code change against the governance principles of state over prompt, freeze over generate, and audit over output. List risks, missing records, and remediation suggestions.
A governance review report highlighting compliance issues, risks, and actionable improvement recommendations.
Design an audit mechanism for our AI software project covering requirement changes, prompt usage, artifact freezing, human approvals, and release tracking. Specify what records should be retained at each stage.
An actionable audit mechanism design defining audit checkpoints, record fields, owners, and tracking methods.
Execute SOPs step by step with enforced completion and auditability.
Access and manage engineering docs with traceable support for requirements, tests, and impact analysis.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Create, query, validate, and analyze software specifications with AI guidance.
Safely inspect, plan, validate, and edit engineering documents with AI.
Orchestrate MCP AI workflows with policy enforcement, auditing, and execution monitoring.