In May 2026 Robinhood opened Agentic Trading, letting third-party AI agents place orders in a dedicated brokerage account. This guide covers what it is, how to set it up, and - the part most write-ups skip - which risk controls it does not give you.
Agentic Trading is a brokerage account type you connect an AI agent to over MCP (Model Context Protocol) - an open standard that lets AI models call external tools. Robinhood exposes its trading and market-data functions as MCP tools; whatever AI you connect can then call them.
The endpoint is https://agent.robinhood.com/mcp/trading, and Robinhood's own documentation lists Claude, ChatGPT, Cursor, and Grok among the platforms that can connect, along with anything else that speaks MCP.
The important architectural detail: agents trade in a dedicated Agentic account, separate from your primary investing account. Trade placement is limited to the Agentic account, but read access can include other Robinhood accounts, positions, balances, transactions, and watchlists. Review the permissions carefully. Robinhood's current access disclosure.
Connecting a general-purpose chat assistant directly gets you a capable research and order-entry tool. You can ask it to analyze your positions, look at option chains, and place orders, and you can review what it's about to do before it acts.
What that setup does not include is the part that matters when a trade goes against you. Robinhood's own documentation is explicit that users bear full responsibility, and that "AI agents can make errors, misinterpret instructions, act on incomplete or outdated information, and may behave in unexpected ways." Check whether your chosen setup actually supplies these controls; an MCP connection alone does not establish them:
You can tell a model to cut losers at −20%. Whether it does depends on it choosing to act on the next message. That is an instruction, not a risk control - the difference shows up on the trade that gaps against you.
Do not assume a model instruction imposes a spending or exposure limit. Verify the controls supplied by your broker and chosen agent before enabling automation.
Scheduling depends on your agent platform and configuration. Verify when monitoring runs and what happens if a session or device goes offline.
Verify whether a daily-loss limit is enforced by software and which actions it stops. A requested limit in a prompt is not a guarantee.
Chat history is not a trade log. Reconstructing why a position was opened three weeks ago, from a scrolled-away conversation, is not realistic.
Persistent context depends on your agent platform. Confirm how it retains positions, decisions, and instructions across sessions.
The honest answer is that it depends entirely on what sits between the model and the order. The model is a research and reasoning tool; it is not a risk manager, and it should not be the only thing deciding how much you can lose.
Two principles worth adopting regardless of what software you use:
trelic is a desktop app built on this API. It connects to your Robinhood agentic account the same way any MCP client does, and adds the layer described above: strategies you write in plain English, per-trade and daily caps, a loss circuit breaker, an automatic stop-loss attached to every position at fill, an approval gate before anything reaches your broker, paper mode, and a full audit log.
It runs on your computer - your broker login and AI API key are encrypted locally and never sent to us, and we never hold or touch your funds. It also supports Public.com alongside Robinhood.
trelic is an independent product and is not affiliated with or endorsed by Robinhood.