How to Use the Zhumu / 瞩目 MCP in Vercel AI SDK

Q: How do I check Zhumu / 瞩目 meeting status using Vercel AI SDK?

You call the getmeeting tool with a specific ID. The results stream right into your UI, letting you show the user the current details without needing to wait for a full page refresh.

Q: Can Vercel AI SDK list users from Zhumu / 瞩目?

Yes, the listusers tool pulls all organization members. You can then pass those user details into your streaming component so the user sees the data populating in real time.

Q: Does Vercel AI SDK handle Zhumu / 瞩目 account reporting?

Absolutely. The getaccountreport tool fetches usage reports and streams them immediately. This is perfect for showing billing or activity metrics to the user as soon as they open the dashboard.

Q: Where can I find information about Zhumu / 瞩目 privacy when using Vercel AI SDK?

This server touches user profile data (getuser) and account usage reports. You should always check your authentication provider's guidelines for handling this information.

See meeting data stream live in your UI with Vercel AI SDK.

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Connect Zhumu / 瞩目 MCP to Vercel AI SDK

Create your Vinkius account to connect Zhumu / 瞩目 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 Zhumu / 瞩目 with Vercel AI SDK

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Perplexity

Build real-time calendar interactions.

Use `create_meeting` and `update_meeting` to programmatically schedule or modify sessions. This gives the user a live view of their organization's availability. Calling `get_meeting` allows your agent to fetch specific details for any scheduled event, letting you display data instantly as it arrives in the React component.

Manage and retrieve organizational user lists.

The `list_users` tool fetches all users within the organization. You can then use `get_user` to grab specific details about any individual account. Running `get_account_report` gives you usage metrics, which is critical for displaying billing or activity data directly in your user dashboard.

Access content and webinar schedules.

You can list all scheduled webinars using `list_webinars`, giving the end-user a clear view of upcoming educational events. Similarly, `list_recordings` retrieves cloud recordings for easy access. Calling `list_meetings` provides an immediate rundown of every pending session, keeping your application's data current.

Setup guide

Set up Zhumu / 瞩目 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 Zhumu / 瞩目 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 Zhumu / 瞩目 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 Zhumu / 瞩目. 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 Zhumu / 瞩目 MCP in Vercel AI SDK

You call the `get_meeting` tool with a specific ID. The results stream right into your UI, letting you show the user the current details without needing to wait for a full page refresh.

Yes, the `list_users` tool pulls all organization members. You can then pass those user details into your streaming component so the user sees the data populating in real time.

Absolutely. The `get_account_report` tool fetches usage reports and streams them immediately. This is perfect for showing billing or activity metrics to the user as soon as they open the dashboard.

The server provides meeting details, user profiles, scheduled webinars, and account usage reports. These are all delivered via structured calls to the MCP Server.

This server touches user profile data (`get_user`) and account usage reports. You should always check your authentication provider's guidelines for handling this information.

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