Exposes payment authorization and decision-retrieval tools to MCP clients, letting AI agents request spending approvals, inspect verdicts, enforce recipient allowlists, and keep signed tokens out of model context.
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.
Exposes an MCP server that routes every agent tool call through deterministic policy gates, budget escrow with clawback, authenticated approvals, and a hash-chained audit trail, enabling agents to safely perform money-related operations while receiving actionable denial reasons.
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.