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Fetch exact team policy sections efficiently for subagents using section notation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-policy-server" yet — see the docs or source repo.
Please extract §Code Review/Submission Requirements and §Code Review/Blocking Conditions from the team policies. Return only the original text organized by section heading.
The exact text of the requested code review sections, ready for developers or subagents to follow.
Read §Release Process/Security Checks and §Release Process/Approvers from the policy library and summarize them as a concise checklist.
A checklist of required security checks and approval requirements before release.
Prepare policy context for a subagent: extract §Data Handling/Sensitive Information and §Data Handling/Retention Period, and add a one-sentence note for each section.
Concise, policy-grounded excerpts suitable for passing to another agent for follow-up tasks.
Lets AI access design tokens and component contracts via MCP consistently.
Cut AI API costs dramatically with token measurement, compression, caching, and pruning.
Enforce policy checks on AI tool calls without exposing system credentials.
Gate MCP agent actions through compliance policies before execution.
Expose reusable team skills to MCP agents via package.json configuration.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.