Preloop

Preloop is a human-in-the-loop approval platform designed for AI agents and agentic workflows. It provides MCP proxy and tool management capabilities, enabling teams to maintain control and oversight over AI-driven processes. The platform supports both self-hosted and cloud-hosted deployments, making it flexible for various organizational needs.

Key Features:

• MCP Proxy & Tool Management - Centralized management of Model Context Protocol tools and proxies for AI agent workflows
• Human-in-the-Loop Approvals - Single-user and team-based approval systems with quorum support for critical decisions
• CEL Conditional Approvals - Define conditional approval rules using Common Expression Language for automated decision routing
• Approval Escalation - Automatic escalation workflows when approvals are not addressed in time
• Vector Search & Duplicates - Built-in vector search capabilities to identify duplicate requests and similar patterns
• Agentic Flows - Support for complex agentic workflows with multiple steps and decision points
• Issue Tracker Integration - Connect with existing issue tracking systems for seamless workflow integration
• Multi-Channel Notifications - Email, mobile, Slack, and Mattermost notifications to keep teams informed
• RBAC & Team Management - Role-based access control for managing team permissions and responsibilities
• Audit Logging - Comprehensive audit trails for compliance and governance requirements
• Enterprise Security - SSO, OIDC, and SCIM support for enterprise deployments

To get started, users can deploy the open-source version via GitHub for self-hosted environments or sign up for the cloud-hosted Teams plan with a 30-day free trial. The platform integrates with existing development workflows and supports various notification channels to ensure timely approvals.