Show HN: Focus on approving agent actions and managing team MCP access

Category: security

Tags: ai-agents, governance, approval-workflow, mcp, policy-enforcement

Score: 4.3/10 (Innovation: 5, Technical: 4, Documentation: 2, Utility: 4)

TrustLoop is a governance layer for AI agents that intercepts tool calls, applies policy checks (e.g., spending caps), and escalates approvals to humans with signed receipts. It aims to let teams manage MCP (Model Context Protocol) access and prevent destructive agent actions in production.

Target audience: AI engineers, platform teams, and managers deploying autonomous agents

Repository: https://gettrustloop.app

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