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How to Use the Column MCP in Vercel AI SDK

Run a chartered US bank directly inside your Next.js frontend using Vercel AI SDK and the Column MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Column MCP to Vercel AI SDK

Create your Vinkius account to connect Column 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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Live banking interfaces with Vercel AI SDK

The `column_create_bank_account` tool lets your React or Next.js app spin up actual demand deposit accounts on the fly. Your users watch their new account details render instantly on screen as the Vercel AI SDK streams the raw JSON response from the bank. Instead of staring at a spinning wheel, customers see their routing information populate block by block. Your agent can immediately chain this with `column_get_balance` to show live settled funds right inside the UI component.

Instantly trigger wires and print physical checks

The `column_create_wire_transfer` tool gives your streaming interface the ability to execute same-day wire transfers without leaving the chat window. The Vercel AI SDK handles the active stream, showing the user exactly when the money leaves the ledger. If you need to pay a legacy vendor, the agent fires `column_create_check` to physical mailboxes. The UI updates in real-time to show the check generation status, making banking feel like a fast local API.

Sandbox simulation with this MCP Server

The `column_simulate_ach` tool lets you mock inbound money routing directly inside your local dev environment. You don't need real cash to verify how your Next.js app handles complex bank flows. Verify business customers by running `column_create_entity` for instant KYC checks. The MCP Server hooks directly into Vercel AI SDK to stream registration updates straight to your dashboard.

Setup guide

Set up Column 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 Column 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 Column 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 Column. 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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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

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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 Column MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and instantiate the client with the Vinkius MCP endpoint URL. Pass the tools from `mcpClient.tools()` directly into your `streamText` function to let your LLM call banking actions.
Yes, you can stream the output of `column_get_balance` directly. The Vercel AI SDK UI components render the settled ledger amounts as they arrive from the bank.
You call `column_list_transfers` to fetch historical payment operations. The SDK streams the array of ACH histories straight into your React tables for immediate viewing.
Your Next.js app should catch errors thrown during the tool execution. Since Column runs inside a secure V8 sandbox on Vinkius, the connection remains stable even if a specific bank transfer fails validation.
Absolutely, because Vinkius executes this MCP Server in an ephemeral zero-trust environment. Your sensitive KYC data, including tax IDs and bank routing numbers, is encrypted end-to-end and never stored on Vinkius logs.

Start using the Column MCP today

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