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How to Use the Upzelo MCP in Vercel AI SDK

Display live customer and subscription data streams using Vercel AI SDK.

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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 Upzelo MCP to Vercel AI SDK

Create your Vinkius account to connect Upzelo 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 Customer Roster Retrieval

Need a full list of users? Use `list_customers` to pull a roster instantly. Your frontend shows every customer name and ID appear live as the AI client fetches them. This is perfect for building dashboards where end-users need immediate data confirmation, not just a loading spinner after an API call.

Subscription Status Updates

When a customer's payment changes, you update records immediately. Call `update_subscription` to change attributes like plan level or renewal date. The Vercel AI SDK streams this data right into the UI, letting your user see the record change in real-time as it happens.

Checking Retention Flow Status

You can monitor active campaigns using `get_flow_session`. This tells you if a customer's retention journey is running correctly or stalled. The streaming nature of the SDK makes monitoring simple. You get status updates for the flow session and display them live to your user.

Setup guide

Set up Upzelo 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 Upzelo 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 Upzelo 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 Upzelo. 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 Upzelo MCP in Vercel AI SDK

You call `mcpClient.tools()` from your Next.js or Svelte frontend, passing the tool definitions. This lets your user interact with functions like `get_customer` and see the results stream directly to the page.
This MCP Server handles customer records and subscription attributes, specifically touching **customer details** and **subscription attributes**. Always handle this sensitive data with secure OAuth authorization when using your AI client.
Absolutely. You just call the `list_customers` tool. The results stream into your UI, allowing you to populate a large data table with live updates as they arrive.
Yes, the `get_flow_session` tool lets you check the current status of any retention flow. The results stream back to your client quickly, letting you display the session status without delay.
You can use `save_customer` to create or update a profile. Because we're streaming, your user sees the confirmation of the saved data instantly in the UI.

Start using the Upzelo MCP today

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