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How to Use the Nango (Unified API & Integration Platform) MCP in Vercel AI SDK

Bring live integration data into your Vercel AI SDK frontends. Audit OAuth and track syncs in real-time.

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Vercel AI SDK

Connect Nango (Unified API & Integration Platform) MCP to Vercel AI SDK

Create your Vinkius account to connect Nango (Unified API & Integration Platform) 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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Audit OAuth connections in your Vercel AI SDK UI

Stop guessing which accounts are active. Use `list_connections` to pull every live OAuth session directly into your dashboard state. Your users need to know if their integration is healthy. Call `get_connection` to display specific metadata about their setup the moment they land on the page.

Stream synchronized records via Nango (Unified API & Integration Platform)

Feed your UI with actual records rather than raw API junk. Point `list_records` at your provider mapping to pull clean data into your components. Since this MCP Server works over HTTP, your Edge Functions handle the data flow without local overhead. It’s built for the speed your frontend demands.

Track sync history with Nango (Unified API & Integration Platform)

Don't let silent failures break your user experience. Use `list_syncs` to check if the last pull actually finished or if it hit a wall. If a sync hangs, you’ll see the status immediately. It gives you the diagnostic info needed to prompt the user to re-authenticate before they even file a support ticket.

Setup guide

Set up Nango (Unified API & Integration Platform) 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 Nango (Unified API & Integration Platform) 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 Nango (Unified API & Integration Platform) 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 Nango. 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.

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 Nango (Unified API & Integration Platform) MCP in Vercel AI SDK

You instantiate the client via the MCP transport layer. Simply point your `createMCPClient` call to the Nango endpoint and register the tools in your `generateText` config.
Yes. Because the server returns standard MCP tool outputs, the Vercel AI SDK pipes the result directly into your `streamText` response. The UI updates as the data arrives.
Absolutely. The lightweight HTTP transport ensures your Edge Functions stay under execution limits while fetching integration data.
You manage the primary credentials in the Nango dashboard. The server handles the active connection session, so your code just calls the tools.
Your connection metadata and sync records are scoped to your specific instance. No third party touches your OAuth tokens; they stay within your secured Nango environment.

Start using the Nango (Unified API & Integration Platform) MCP today

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