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Add human approval checkpoints to AI agents with signed decision proof.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@looppause/mcp" yet — see the docs or source repo.
Integrate @looppause/mcp into the deployment pipeline: when the AI agent is about to release code to production, pause execution first and send an approval request to the on-call engineer via Slack; continue only after approval and store the signed approval record.
A deployment flow with a human approval step, including Slack approval notifications, resume conditions, and an auditable signed decision record.
Design an AI ops assistant flow: when the agent wants to delete cloud resources, change database permissions, or restart core services, it must call @looppause/mcp to pause and send an approval request to the platform owner by email, then continue only after approval.
A human review workflow for high-risk operations, defining pause conditions, email approval steps, and resume logic after approval.
Add a review step to an automated marketing agent: before sending bulk emails to customers, use @looppause/mcp to pause the task and send the draft content to the marketing manager for approval; continue sending after approval and keep signed proof for compliance records.
An approval workflow for marketing automation that ensures outbound content is human-reviewed and backed by traceable signed approval records.
Run deterministic agent orchestration with task decomposition, subagents, and review feedback.
Detects agent infinite loops and provides safeguards with recovery recommendations.
Control agent workflows with stateful primitives and persisted execution facts.
Coordinate AI coding agents with identities, inboxes, thread search, and file leases.
Supervise self-improving AI loops by mining sessions and optimizing workflows continuously.
Add authorization, delegation, provenance, and audit controls to AI agents.