AI agents today get full access or no access. There's no permission layer. Multicorn Shield intercepts every tool call before it executes, checks it against your permissions, and blocks anything unauthorized. Real-time approval requests, time-limited access, spending controls, and tamper-proof audit logs. Open source, works as an MCP proxy, 2-minute setup. Also includes free AI safety education at multicorn.ai/learn.

Anima - OnBrand Vibe Coding — Design-aware AI for modern product teams.

Design-aware AI for modern product teams.

Hi Product Hunt! I'm Rachelle. I work on AI agent infrastructure and built Multicorn Shield because I kept hitting the same problem: AI agents get full access to your tools and data, or you don't use them at all. The breaking point was watching Summer Yue (Director of Alignment at Meta) share how her AI agent deleted 200+ emails while ignoring her stop commands. The root cause? Context window compaction silently dropped her safety instruction. That's not a fixable bug. It's a missing layer. Shield is that layer. It enforces permissions at the tool call level, outside the model's context window. The agent literally cannot execute an action you haven't approved. It's open source, takes 2 minutes to set up, and works with any MCP-compatible agent. Would love your feedback, especially on what permissions and controls matter most to you.

Anima - OnBrand Vibe Coding — Design-aware AI for modern product teams.

Design-aware AI for modern product teams.

Multicorn Shield

Permissions, approvals & audit trails for AI agents

Permissions, approvals & audit trails for AI agents