How to Use the Groove MCP in Vercel AI SDK

Q: How do I fetch Groove tickets in Vercel AI SDK?

Use the listtickets tool within your tool definition. Pass the result into your streamText call to render the ticket list instantly.

Q: Can Vercel AI SDK update Groove ticket states?

Yes. Simply map the updateticketstate tool to an action in your UI. The model will trigger the status change once it identifies the intent.

Stream real-time Groove ticket data directly into your Vercel AI SDK interface without waiting for loading spinners.

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Connect Groove MCP to Vercel AI SDK

Create your Vinkius account to connect Groove 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 Groove with Vercel AI SDK

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Real-time ticket monitoring in AI SDK

Pipe live support data into your frontend using `list_tickets` and `get_ticket`. Your users see conversation history update in their browser as soon as the agent acts. This MCP Server feeds raw state changes directly into your stream. You avoid the lag of traditional polling by letting the model trigger updates the second a user asks a question.

Direct response injection for AI SDK

Let your users reply to customers from your UI using `create_message`. The model handles the text generation while your frontend pushes the payload to the Groove API. This keeps the interaction local to your app. No more switching tabs to send a simple update, as the tool handles the heavy lifting behind the scenes.

Automated ticket state tracking

Shift ticket statuses programmatically using `update_ticket_state`. Your app reflects the current lifecycle of every issue by syncing directly with the helpdesk backend. Managing the flow of support requests becomes a background task. You define the logic, and the model executes the state change whenever the conditions are met.

Setup guide

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

Use the `list_tickets` tool within your tool definition. Pass the result into your `streamText` call to render the ticket list instantly.

Yes. Simply map the `update_ticket_state` tool to an action in your UI. The model will trigger the status change once it identifies the intent.

The server uses your provided endpoint token to authenticate every request. No sensitive data is stored on our end, and all traffic stays within your established connection.

It provides the tools for your model to query the current state. You can trigger these tools whenever your frontend requires the latest information.

It accesses ticket metadata, message history, and customer contact details. This data is handled via encrypted transit and never cached by the server.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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