Dominant agent integration standards like MCP conflate trusted agent context with untrusted external data at the protocol level, enabling prompt injection and arbitrary command execution vulnerabilities that application-layer developers cannot mitigate. The absence of a clear trust boundary model in protocol design means every MCP-compatible deployment inherits systemic exploitability. A security-first protocol layer with well-defined responsibility models for capability vs. control is a missing category of infrastructure for the agent economy.

Current agent integration protocols like MCP have no separation between trusted instructions and untrusted external data, making every deployment systematically vulnerable to prompt injection and command execution attacks that app developers cannot fix.

Engineering leads at companies shipping AI agent products that integrate with external tools and data sources via MCP or similar protocols, who are blocked from enterprise deals by security review failures.

Enterprise buyers are rejecting agent deployments over security concerns today, and every MCP-compatible tool developer needs this solved at the protocol layer — they'd pay for a drop-in security boundary the same way they pay for API gateways and WAFs.

MVP is an open-source proxy/middleware that sits between agent runtimes and MCP tool servers, enforcing trust-zone tagging on all data flows, capability-scoped permissions, and sandboxed execution — shipped as a single Docker container with a policy DSL and dashboard.

Subset of the $8B+ API security and gateway market, directly targeting the tens of thousands of teams building agent integrations — conservatively $500M+ as agent deployments go enterprise.