Best Apps to Connect a Brokerage to an AI Assistant

Under the hood, connecting a brokerage to an assistant like Claude or ChatGPT has three moving parts: the AI client you chat in, the app that exposes your account as tools, and the broker connection that app authenticates against. That last part happens one of two ways. Most consumer apps reach your account through a regulated account-aggregation layer such as SnapTrade or Plaid, which fronts many institutions behind one connection, so your broker login and password stay at the broker and the app gets scoped access. The other route is a broker's own official connector, which covers that one broker. For the plain-language walkthrough, see how to connect your brokerage to an AI assistant.

The aggregator route is why a single app can reach brokers like Schwab and Fidelity without a bespoke integration for each. Many of these apps speak the Model Context Protocol, an open standard introduced by Anthropic in late 2024 for connecting assistants to external tools, so the assistant can call “get positions” or “place order” during a conversation. If you want the app to be a portfolio-aware MCP link specifically, see the best MCP connectors for brokerages.

The key split is what the connection can do. A read-and-trade path (SnapTrade on supported brokers, or the Robinhood, Webull, Public and Alpaca connectors) can both report your account and submit orders. Interactive Brokers sits in between: its AI drafts orders and you submit them. A read-only path (Plaid, or Robinhood through aggregators) can analyze your portfolio but never act on it. Getting that distinction right up front saves the most common disappointment.

• Your broker. Whether it supports the account you actually hold. Aggregator-based apps (like Walnut) reach many brokers; a broker's own connector binds to that one.
• Read vs trade. Whether the app only reads holdings or can also place trades, and what approval step gates an order before it reaches the broker.
• Which AI client. Whether you can use it from Claude Desktop, ChatGPT, or Cursor, or only inside the app's own chat.
• Security model. Whether it links through a regulated aggregator, never stores your broker password, and defaults to read-only.
• No-code vs build. A hosted consumer app you connect in a few clicks, versus a developer integration you self-host and secure.
• Advice vs execution. Whether you want a holistic second opinion (PortfolioPilot) or the ability to act in the broker you already have (Walnut).

These are the regulated services that actually link your account. They are usually the plumbing under a consumer app rather than something you use directly, but they define what the app on top can do. Each is described on the same fields: what it is, how the connection works, whether it reads or trades, who it suits, and one honest limitation.

These sit on top of a connection layer and give you an AI conversation over your holdings. This is a fast-moving space, so verify current broker support and features before relying on any of them. Same field block as above.

In 2026 a run of brokers launched official AI connectors for their own accounts. If all your money is at one of them, its connector is a fine choice and goes deepest on that account. Each covers that broker only, so money held elsewhere stays out of view.

The same question gets asked in provider language as often as it gets asked in app language, so it is worth answering directly. Judged on integration quality rather than on the chat experience, there are three tiers, and which one is “best” depends entirely on whether you want to use an integration or build one.

• Best coverage for a developer building an integration: the aggregation providers, SnapTrade and Plaid. They support the widest set of institutions, and most consumer apps in this category sit on top of one of them. They are not products an individual investor signs up for.
• Best finished integration for an individual investor: the assistant providers, where PortfolioPilot, Walnut, and Magnifi all ship a working brokerage integration you can authorize in a few minutes. Differences show up in coverage breadth, whether access stays read-only by default, and whether the assistant can act or only analyze.
• Best single-broker integration: the brokers with their own official connectors, such as Robinhood, Interactive Brokers, Webull, Public and Alpaca. Deepest control, but coverage of exactly one institution.

Whichever tier you choose, evaluate a provider on four things: broker coverage for your specific institution, whether that coverage is read-only or trade-enabled (never assume they match), where your credentials are held, and how often the connection needs re-authorizing. A fuller provider-by-provider comparison lives in brokerage to AI integration providers compared, and which brokers have an AI assistant covers the broker-side options.

“Agentic trading” has become the shorthand for AI that acts rather than answers, and it is worth being precise about how much of it these apps actually do. Connecting a brokerage grants an assistant the ability to read your account. Agent execution grants it the ability to place an order. They are separate permissions, and read access is far more widely available than execution.

In 2026 seven brokers launched official AI connectors: Interactive Brokers, Robinhood, Webull, Public, tastytrade, Moomoo and TradeStation, and Alpaca has an official open-source MCP server. Robinhood, Webull, Public and Alpaca let an agent place orders; Interactive Brokers' AI drafts orders for you to submit. Schwab and Fidelity have no first-party connector we know of, but can be connected read-only so an assistant sees your real holdings. So if your goal is an agent that trades for you, your broker decides whether that is even possible. If your goal is an AI that understands what you own across brokers, almost any broker works.

The apps in this guide are agent-ready in the read sense: they expose your holdings to Claude or ChatGPT as tools. Where execution exists at all, the careful ones keep it behind a human approval gate rather than letting the agent act unsupervised. For the broker-by-broker breakdown of which platforms support AI agents and what each one lets an agent do, see the best agentic trading apps guide.

There is no overall number one, because the right app depends on whether you want to talk to the broker you already have, only read a portfolio for analysis, or trade a single broker directly. Below the field is ranked inside each use-case, with the stronger fit first. Walnut appears in the assistant group as the no-code, broad-coverage pick, not as an overall winner.

We split the field into the connection layer (aggregators), the consumer assistants built on top of it, and the brokers you can connect directly, because comparing them on one axis is misleading. Within each group we weighed broker coverage, whether the app can execute or only read, the security and auth model, which AI clients it works with, and setup effort. We treat read-only defaults and credential safety as table stakes, not bonus features: an app that can trade but mishandles access is not better than a careful read-only one. We did not crown a single overall winner; the right app depends on your broker and what you want the assistant to do. Facts here are qualitative and point-in-time, so verify current capabilities and pricing on each provider's site.

It can be, if the access model is sound. The safer apps share three traits. First, they link through a regulated aggregator (SnapTrade, Plaid) rather than asking for your broker password, so your login stays at the broker. Second, read access is the default and any trade is gated behind explicit approval. Third, you can scope what the app may do, so a read-only connection cannot place orders even if the model asks. The Model Context Protocol many of these use was designed by Anthropic for exactly this kind of scoped, permissioned access.

The risks worth naming: a broad or mis-scoped connection can grant more than you intend; a self-hosted developer integration you do not secure becomes a new attack surface; and community-built broker connectors vary in maintenance, so prefer a broker's official connector and vet any other code before pointing it at a live account. Walnut follows the safe pattern: your broker login and credentials stay at your broker, access is read-only unless you enable trading, and every order requires your confirmation.

The quickest way to narrow it down is to match the app to what you actually want the assistant to do.

• You hold more than one broker, or one with no connector. Walnut is one connection across them and works from Claude or ChatGPT, read-only by default with trades you approve.
• You want a holistic AI second opinion across many accounts. PortfolioPilot links your investment and retirement accounts and gives a whole-portfolio assessment.
• You want a chat assistant with in-app trading. Magnifi pairs a conversational assistant with its own brokerage account.
• You are building the link yourself. SnapTrade (read and trade) or Plaid (read-only investments) are the aggregator layers; Alpaca is an API-first broker with an official MCP server.
• All your money is at one broker with its own connector. Use it: Robinhood, Interactive Brokers (drafts only), Webull, Public, tastytrade, Moomoo or Alpaca.
• You hold Robinhood. Robinhood's own Agentic Trading MCP can trade it; through Walnut it is read-only, alongside your other brokers.

To be upfront, since this is our site: Walnut is the AI investing assistant that talks to the broker you already have and places the trades you approve. A broker's own connector covers that one broker; Walnut is one connection across many. Among the apps that link a brokerage to an AI assistant, it is the portfolio-aware, read-only-by-default consumer option, rather than a raw developer integration or an aggregator you build on, and it leads in that niche rather than overall. Walnut connects a real broker once through a secure connection, so your broker login stays with your broker, then lets Claude Desktop, ChatGPT, or Cursor read your live portfolio and place portfolio trades you approve. You can use either its hosted connector or a small downloadable local MCP shim, whichever your AI client supports, with no server to run. Your broker login stays at the broker, access is read-only by default, and every trade requires your approval. Because broker feeds rarely pass cost basis, Walnut frames returns as window returns rather than realized profit and loss, and says so. In practice you connect it by adding its hosted MCP server URL, https://walnutinvest.com/api/connector/mcp, as a custom connector in Claude, ChatGPT, or Codex (or any MCP client), then signing in with a free Walnut account and approving read-only access; it never places trades on its own. The full per-client setup lives on the Walnut MCP connector page.

If you want a holistic advice layer across many accounts, PortfolioPilot fits better; if you want in-app trading inside one assistant, Magnifi does; and if all your money is at one broker with its own connector, such as Robinhood, IBKR or Public, that connector is a fine choice. From a connected account you can ask an assistant about a specific stock, ETF, or theme against your real holdings. To see which brokers can be reached this way, see which brokers have an AI assistant and the guide to the best AI investing app. Walnut is not an investment adviser.

Linking a brokerage to an AI assistant takes three kinds of app working together. Aggregators (SnapTrade for read and trade, Plaid for read-only investments) make the connection. Consumer assistants (Walnut, PortfolioPilot, Magnifi) turn that link into a conversation over your portfolio. And a growing list of brokers now run official connectors for their own accounts, from Robinhood and Webull (which can trade) to Interactive Brokers (where you submit what the AI drafts). There is no single best one: pick by your broker, whether you want the assistant to read or also trade, and how much you want to build, and keep access read-only until you deliberately enable trading.