How to Use the Mercury MCP in Vercel AI SDK

Stream real-time Mercury transaction data directly into your Vercel AI SDK frontends for live financial dashboards.

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…and any MCP-compatible client

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Connect Mercury MCP to Vercel AI SDK

Create your Vinkius account to connect Mercury 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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Setup Mercury with Vercel AI SDK

Ask AI about this MCP

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Perplexity

Live balance tracking in your UI

Feed `get_balance` and `list_accounts` results directly into your React components. Your users see their actual cash position update as the AI agent fetches the data. Stop waiting for spinners. By piping the MCP Server output through the SDK, your interface stays live and responsive while the agent handles the heavy lifting.

Automated invoice display

Expose `list_invoices` to your agent and render the returned data in your dashboard. The AI client handles the parsing, so your frontend code stays clean. Your users get a live view of outstanding receivables. It’s a direct link between your banking data and the browser without writing custom backend routes.

Instant transaction history lookups

Use `list_transactions` to let your agent answer user questions about spending. The tool results stream into your app, showing the data the moment it arrives. This turns your interface into a queryable database. Your users ask about their spend, and your AI client shows the specific records immediately.

Setup guide

Set up Mercury 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Mercury tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Mercury transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mercury. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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

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

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place for every integration

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

Common questions about Mercury MCP in Vercel AI SDK

Install the MCP packages and define the transport layer in your config. Once the connection is live, your AI client maps the eight banking tools to your agent's toolset.

Yes. The server is lightweight and compatible with edge runtimes. It handles the request to Mercury and streams the result back through your agent.

Your agent only accesses the data you explicitly permit through the tool definitions. You control the scope of the interaction entirely.

The server is optimized for fast response times. Since it streams results, your UI updates the instant the API returns the requested records.

The connection uses encrypted transport protocols. No banking credentials are stored on our servers; you provide the token, and the MCP Server executes the call locally.

Use it with your favorite AI tools

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