You'd reach for this when you need governance guardrails around Claude's actions. It adds human approval gates into your AI workflows, so instead of Claude executing operations automatically, it can pause and wait for your sign-off before proceeding. The audit trail piece means you get a record of what was approved, rejected, and executed. This is the kind of tool that makes sense when you're building AI automation for environments where you need accountability and oversight, like production systems or regulated workflows. The source doesn't detail specific MCP operations it exposes, but the focus is clearly on wrapping existing capabilities with approval checkpoints rather than providing new integrations.
MOVA_API_KEYMOVA API key. Use test-key-001 to get started without registration.
LLM_KEYOpenRouter API key (sk-or-v1-...). Required for LLM analysis steps.
LLM_MODELOpenRouter model ID for analysis steps.
MOVA_API_URLOverride the MOVA API base URL.