Preloop is an event-driven automation platform that serves as a governance layer for MCP (Model Context Protocol) agents. It enables safe AI automation by intercepting sensitive tool calls and routing them for human approval before execution.
Key Features
- MCP Proxy with Approval Engine: Acts as a proxy between MCP clients (like Claude Code, Cursor, Windsurf) and MCP servers, intercepting tool calls that require governance
- Human-in-the-Loop Safety: Pauses risky operations (deploys, database writes, payments) for human review while allowing non-sensitive actions to proceed automatically
- Audit Trail & Governance: Maintains complete logs of all approval decisions with support for advanced conditions, quorum-based approvals, and escalation policies
- No Infrastructure Changes: Works as a transparent proxy without requiring SDK integration or code modifications to existing MCP setups
- Event-Driven Workflows: Triggers automation from various sources including GitHub, GitLab, Jira, webhooks, and scheduled events
Use Cases
- DevOps & CI/CD: Safeguard production deployments and infrastructure changes initiated by AI agents
- Database Operations: Prevent unauthorized or risky database modifications through approval gates
- Financial Transactions: Add human oversight to payment processing and financial operations
- Team Collaboration: Enable multi-user approval workflows with notification integration (Slack, Mattermost, email)
Target Users
- Development teams using AI coding assistants (Claude Code, Cursor, Windsurf)
- DevOps engineers implementing safe automation practices
- Organizations requiring governance and audit trails for AI agent actions
- Teams building event-driven automation with human oversight requirements
