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How to Use the zipperHQ MCP in Vercel AI SDK

See your video communication data stream live into your frontend using Vercel AI SDK.

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Vercel AI SDK

Connect zipperHQ MCP to Vercel AI SDK

Create your Vinkius account to connect zipperHQ 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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Check Communications Status

The `check_zipper_status` tool verifies the API connectivity to ZipperHQ. Your client instantly knows if the service is up or down, so you can display clear status messages in your UI. This real-time check prevents errors from showing up on the user's end. You build a better experience when the data source connection fails gracefully.

Manage Contact Data

You can pull all contacts using `list_contacts` and then get details for specific individuals with `get_contact_views`. This lets you show users who they've messaged, right in the web app. Furthermore, running `list_recordings` gives your application access to every screen recording associated with the account. You pass this data directly into your React component.

Search and Analyze Videos

Need a specific video? Use `search_videos` to filter content by keyword, or get deep insights using `get_video_analytics`. The analytics tool provides metrics like views and engagement rates for any given video. You can also fetch the top 10 videos via `get_recent_videos`, which populates a dynamic feed on your product page. It's all streamed to the user interface.

Setup guide

Set up zipperHQ 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 zipperHQ 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 zipperHQ 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 zipperHQ. 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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Real-time monitoring

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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

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 zipperHQ MCP in Vercel AI SDK

You call `check_zipper_status` first. The result tells your client immediately if the ZipperHQ API connection is active. This prevents your UI from showing misleading errors.
The server handles contact information, video records, and analytics data. Specifically, you'll be working with contact lists and detailed video performance metrics.
You should run a status check early in your component lifecycle. This ensures that if there's an issue with ZipperHQ, you don't waste time trying to fetch data and fail later.
Yes, the setup supports `authProvider` for OAuth. This means you can securely connect your application to ZipperHQ without exposing credentials directly in the code.
This server touches contact metadata, which includes recipient names and their associated view counts. You'll be handling structured communication record data.

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