An MCP server that enforces deterministic authorization boundaries for AgentTeams workflows by verifying evidence and policy, returning ALLOW, BLOCK, or REQUIRE_APPROVAL decisions before actions are executed.
Enables MCP-compatible AI agents to safely act on business backends by enforcing per-agent permissions, autonomy thresholds, human approval with review-and-edit, and full audit trails.
Enables AI agents and MCP clients to screen proposed actions, enforce deterministic policies and limits, and produce tamper-proof signed audit receipts before any external side effect is executed.
Provides a governance layer for MCP servers, enforcing policy-based allow/deny/approval rules, requiring human approval for risky calls, and recording an auditable trail of every AI agent tool call.