Preloop

About Preloop

Preloop is an agentic automation platform that inserts a human approval layer before high-risk AI agent actions. It acts as an MCP proxy, intercepting tool calls and routing them for approval via mobile, Slack, or Teams prior to execution.

Review

Preloop focuses on preventing harmful or mistaken agent actions by requiring pre-execution approvals and keeping a detailed record of what agents attempted. For teams already using MCP-compatible clients and servers, the platform promises low-friction adoption by routing traffic through a proxy rather than requiring SDK changes.

Key Features

• Human approval gates for risky actions (deployments, refunds, customer data changes) with approval via mobile, Slack, or Teams.
• MCP proxy architecture that works with existing MCP clients and servers with minimal configuration changes.
• Flexible operation modes: automation only, approval gates only, or both combined to match team needs.
• Detailed audit logs and captured request payloads to support compliance and forensic review.
• Approval routing to individuals, teams, or channels and a planned option for model-assisted risk scoring to reduce manual volume.

Pricing and Value

Preloop offers free options and has promoted launch discounts (for example, a limited-time 50% off for several months). The primary value proposition is risk reduction: it provides pre-execution oversight and an audit trail for agent actions while minimizing integration work for MCP users. Teams that must protect deployments, financial operations, or sensitive data will find the oversight and logs especially valuable.

Pros

• Very low integration overhead for MCP users-point the client at the proxy and approvals begin working.
• Pre-execution approvals reduce the chance of costly or irreversible agent actions.
• Multiple approval channels (mobile, Slack, Teams) and routing to teams help avoid single-person bottlenecks.
• Audit logs and payload capture address compliance and post-incident review needs.
• Flexible usage modes allow gradual adoption (start with self-approval or approval-only flows).

Cons

• Manual approvals can become a bottleneck at high volume; the platform is working on model-assisted approvals but that capability is not yet fully mature.
• Works natively with MCP-compatible setups-teams using other protocols will need additional integration work or adapters.
• Successful rollout requires internal policy decisions about who owns approvals and how on-call teams will handle requests.

Overall, Preloop is best suited for engineering and operations teams running agentic automations that touch deployments, payments, or sensitive customer data and that need an added layer of human oversight and traceability. It offers a practical, low-friction way for MCP users to add approval gates and audit trails while they refine policies for safe automation.

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