How to Use the Chorus.ai (ZoomInfo) MCP in Vercel AI SDK

Q: How do I connect Chorus.ai (ZoomInfo) to the Vercel AI SDK?

You'll use the @ai-sdk/mcp package. Instantiate the client with your Vinkius endpoint URL, then pass the tools to the generateText or streamText functions. The SDK handles the connection and tool invocation for you.

Q: Can my Vercel AI SDK app get full meeting transcripts from Chorus.ai (ZoomInfo)?

Yes. The getmeetingtranscript tool provides the full text of any meeting. You can stream the transcript directly into your UI, so the user sees the text appearing word by word, just like a live captioning service.

Stream Chorus.ai meeting analysis directly into your Vercel AI SDK app, rendering insights in your UI as they arrive.

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Connect Chorus.ai (ZoomInfo) MCP to Vercel AI SDK

Create your Vinkius account to connect Chorus.ai (ZoomInfo) 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 Chorus.ai (ZoomInfo) with Vercel AI SDK

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Claude

Perplexity

Build Live Sales Dashboards

Stop forcing users to refresh the page. Use the Vercel AI SDK to build frontends that pull sales call data and display it live. Your agent can call `list_chorus_meetings` and then stream the output of `get_meeting_details` for each one directly into your React or Svelte components. Users see call logs and meeting data appear in real-time. There's no loading spinner, just a constant flow of information. It's perfect for building internal tools that give sales managers a live view of their team's activity without having to wait for a batch job to finish.

Stream AI-Generated Moments

Show the most important parts of a call instantly. This MCP Server lets your agent use `get_meeting_moments` to pull AI-identified highlights from any sales conversation. You can stream these moments directly into a summary component in your app. Instead of making a user read a full transcript, you give them the key takeaways in seconds. Your Vercel AI SDK app feels faster and more responsive because the data renders as it's being processed, not after everything is finished.

Visualize Team Performance with this MCP Server

Map out your sales organization right in your UI. The tools let you build a dashboard that shows exactly what's happening across the team. Start by fetching all team members with `list_chorus_users` to build a roster. From there, you can pull curated call collections with `list_meeting_playlists` or check for mentions of competitors using `list_tracked_competitors`. Since you're using the AI SDK, all this data can be streamed and rendered live, giving managers a constantly updated view of their team's work.

Setup guide

Set up Chorus.ai (ZoomInfo) 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 Chorus.ai (ZoomInfo) 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 Chorus.ai (ZoomInfo) 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 Chorus.ai. 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 Chorus.ai (ZoomInfo) MCP in Vercel AI SDK

You'll use the `@ai-sdk/mcp` package. Instantiate the client with your Vinkius endpoint URL, then pass the tools to the `generateText` or `streamText` functions. The SDK handles the connection and tool invocation for you.

You can build real-time dashboards for sales managers, live transcript viewers for call reviews, or summary components that display AI-generated meeting highlights. Because the AI SDK streams tool results, the UI feels incredibly fast and interactive.

Yes. The `get_meeting_transcript` tool provides the full text of any meeting. You can stream the transcript directly into your UI, so the user sees the text appearing word by word, just like a live captioning service.

Absolutely. The server is built for low-latency operations, and the Vercel AI SDK is designed to stream responses. The combination means your UI gets data as soon as it's available, creating a fluid, real-time experience.

Your data, including meeting transcripts and user information, is processed in an ephemeral V8 Isolate sandbox. Vinkius manages the authentication token securely, and each tool call is an isolated, zero-trust operation. The data exists only long enough to be returned to your client.

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