How to Use the Certify (Emburse) MCP in Vercel AI SDK

Q: How do I connect Certify (Emburse) to my app using the Vercel AI SDK?

You'll use the @ai-sdk/mcp package. Instantiate the client with your Vinkius endpoint URL. The tools for Certify (Emburse) are then available to pass into the generateText or streamText functions.

Stream Certify expense data directly into your UI with the Vercel AI SDK. No more loading spinners.

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Connect Certify (Emburse) MCP to Vercel AI SDK

Create your Vinkius account to connect Certify (Emburse) 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 Certify (Emburse) with Vercel AI SDK

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Build Live Expense Dashboards

This toolset lets you pull financial data right from Certify. You can build a React component that uses your agent to call `list_expense_reports` and then streams the results directly into a table. The user watches the list populate in real time. Combine it with `list_certify_expenses` to create a drill-down view. When a user clicks a report, the individual line items appear instantly. This is what the Vercel AI SDK was built for — creating fast, interactive UIs on top of live data without waiting for a backend to bundle it all up.

Stream Invoice Status to Your App

Give your accounting team a live view into accounts payable. Your app can use these tools to `list_certify_invoices` and show their status as it changes. No more hitting refresh to see if a payment has been processed. Your agent can also fetch related data using `list_invoice_reports`. Because the AI SDK streams tool output, you can design UIs that feel incredibly responsive. You're not just showing data, you're showing the data as your agent finds it.

Your Vercel AI SDK Financial Tools

This MCP Server is more than just reports. You can build interactive chatbots or search interfaces inside your app. A user could ask, "Who's in the marketing department?" and your agent uses `list_certify_users` and `list_certify_departments` to stream the answer back, word by word. It makes your application feel alive. Instead of a static form, you can build a conversational interface for exploring company financial data. It's a better experience for anyone who needs to look up employees, check department codes, or find a specific receipt with `list_certify_receipts`.

Setup guide

Set up Certify (Emburse) 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 Certify (Emburse) 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 Certify (Emburse) 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 Certify. 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.

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Common questions about Certify (Emburse) MCP in Vercel AI SDK

You'll use the `@ai-sdk/mcp` package. Instantiate the client with your Vinkius endpoint URL. The tools for Certify (Emburse) are then available to pass into the `generateText` or `streamText` functions.

Yes, that's exactly what it's for. The SDK is designed to stream tool results, so you can populate charts and tables with data from `list_expense_reports` or `list_certify_invoices` as it arrives.

The SDK's streaming functions will throw an error if the tool call fails. You should wrap your calls in a try/catch block within your React Server Component or Edge Function to handle any issues gracefully, like displaying an error message in the UI.

Your agent can access data related to expenses, invoices, and company structure. The tools include functions to list expense reports, individual expenses, invoices, receipts, users, and departments.

Yes. Your connection to the MCP server is secured via your private Vinkius token. The server runs in a sandboxed environment and only has the permissions you grant it. It only touches the data needed for a specific tool call, like expense report details or invoice line items.

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