Preloop
Preloop is an MCP governance layer and proxy platform that enables safe AI agent tool usage by implementing human approval gates and decision logging capabilities.
https://preloop.ai/?ref=producthunt
Product Information
Updated:Feb 9, 2026
What is Preloop
Preloop is an event-driven automation platform that provides governance and human-in-the-loop safety for AI agents. It acts as a proxy for the Model Context Protocol (MCP) that allows organizations to add human approval checkpoints to their AI systems without modifying the underlying agent code. The platform was designed to address the critical need for human oversight and control when AI agents interact with sensitive tools and operations.
Key Features of Preloop
Preloop is a comprehensive AI governance platform that functions as an MCP (Model Context Protocol) proxy with built-in human approval capabilities. It enables safe tool usage by AI agents by implementing approval gates for sensitive actions, intercepting risky operations, collecting human decisions, and maintaining detailed audit logs. The platform also automates ML model deployment processes, helping companies transition from experimentation to production more efficiently.
Human-in-the-Loop Approval System: Implements approval gates for sensitive AI actions, allowing human oversight before critical operations are executed
Audit Trail Logging: Maintains comprehensive logs of all AI decisions and actions for transparency and compliance
ML Model Deployment Automation: Automatically translates ML training scripts into production services with built-in observability and autoscaling capabilities
MCP Proxy Integration: Seamlessly integrates with MCP clients like Claude Code, Cursor, and Windsurf without requiring code changes
Use Cases of Preloop
ML Model Production Deployment: Helps data science teams quickly deploy experimental models to production, reducing deployment time from weeks to hours
AI Safety Governance: Provides oversight and control mechanisms for organizations using AI agents in sensitive operations
Automated Workflow Management: Enables AI agents to handle routine tasks while ensuring human approval for critical decisions
Pros
No infrastructure changes required for implementation
Significantly reduces ML model deployment time
Maintains security and safety through human oversight
Cons
Requires API key integration
Limited to specific MCP client compatibility
How to Use Preloop
Sign up for Preloop: Start by getting a Preloop API key through their free trial or demo request process
Configure MCP Client: Point your MCP client (like Claude Code, Cursor, or Windsurf) to Preloop using the command: claude mcp add --transport http preloop https://preloop.ai/mcp/v1 --header "Authorization: Bearer YOUR_PRELOOP_API_KEY"
Connect Tools: Connect your existing tools that you want to add approval gates to - this can include deployments, database operations, payments, GitHub/GitLab/Jira etc.
Set Up Approval Workflows: Configure which operations require human approval and who needs to approve them (e.g. routing feature requests to Product Managers)
Monitor Activity: Use the Preloop dashboard to monitor agent activities, review approval requests, and maintain audit trails of all decisions
Review and Approve Actions: When agents call sensitive operations, Preloop will intercept the request and route it for human approval through your configured notification channels
Manage Policies: Review and update your policies and deployment requirements for what data can be routed through the proxy and what requires approval
Preloop FAQs
Preloop is an event-driven automation platform with built-in human-in-the-loop safety. It acts as a proxy for the Model Context Protocol (MCP) that allows AI agents to use tools safely by intercepting sensitive actions for human approval.
Preloop Video
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