Building a Robinhood Trading MCP Risk Gateway with TypeScript

Description and use

Developing a risk gateway for Robinhood’s external AI agents that enforces deterministic controls on trade intents, ensuring compliance with broker limits.

Problem

AI agents can propose trading actions but lack deterministic controls to enforce broker‑defined risk limits, leading to potential unauthorized or excessive trades.

Outcome

The gateway enforces deterministic risk controls, preventing trades that exceed predefined limits and providing transparent audit logs, thereby aligning AI agent actions with broker policies.

Workflow

• 1. AI agent generates a natural language trade request.
• 2. Agent translates request into a structured TradeIntent object.
• 3. TradeIntent undergoes schema validation.
• 4. RiskEngine evaluates TradeIntent against RiskPolicy rules.
• 5. RiskDecision is returned: allowed or rejected with reasons.
• 6. If allowed, the trade is forwarded to the broker via the MCP tool layer; if rejected, the agent is notified.
• 7. All decisions and actions are logged for audit and state reconciliation.

Evidence

The gateway should reject the request.

Source

The agent can propose an action, but deterministic application code decides whether that action is allowed.

Source

The risk policy should be deterministic.

Source