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How to Use the Tradier MCP in Vercel AI SDK

Show your users real-time trading data with Vercel AI SDK.

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Vercel AI SDK

Connect Tradier MCP to Vercel AI SDK

Create your Vinkius account to connect Tradier to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Real-Time Trading Data via the MCP Server

Your agent streams live market movements directly into React or Next.js components. When you call `get_quotes`, the data appears instantly in the UI, avoiding loading spinners. We also support streaming session creation using `create_streaming_session`. This means your user sees continuous updates for symbols after connecting via the MCP Server.

Manage Account Status with Vercel AI SDK

Build secure account views by fetching balances and holdings. Use `get_account_balances` to display current buying power, or check positions using `get_account_positions`. This data streams live as the user interacts with the page. Need a quick view of what was traded? Run `get_account_history` and show the results streaming in place.

Execute Trades Safely Through Vercel AI SDK

Don't just read data; act on it. The MCP Server handles trade execution via `place_order`. You can wrap this action with checks for current status using `get_order_status` and even cancel pending orders immediately with `cancel_order`. This flow—check, place, confirm, or undo—runs entirely through your streaming agent client.

Setup guide

Set up Tradier MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Tradier tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Tradier transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tradier. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Tradier MCP in Vercel AI SDK

You call `get_account_balances` and stream the results directly into your frontend component. The data appears in real-time, so users don't wait for a single API response.
The MCP Server handles everything from historical price bars (`get_historical_data`) to real-time quotes. You can combine these streams into a single, dynamic user view.
Absolutely. You can build workflows that call `place_order` and then immediately follow up with `get_order_status`, allowing your agent to confirm successful execution right in the user interface.
Yes. You can use `get_user_profile` and then call specific balance tools, like `get_account_balances`, to verify access across linked accounts.
The server handles the display and retrieval of financial records, specifically `account_balances` (including buying power) and trade activity recorded in `get_account_history`.

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