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How to Use the Zoom MCP in Mastra AI

Build resilient Zoom workflows with Mastra AI's robust workflow engine.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Zoom MCP to Mastra AI

Create your Vinkius account to connect Zoom to Mastra AI 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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Automated Meeting Scheduling and Error Handling

When you need to schedule a meeting, use `create_meeting`. If that fails for some reason—say, the topic is invalid—Mastra AI automatically retries with exponential backoff. You don't have to code the failure path yourself. This means your complex workflow handles temporary Zoom API outages or bad input gracefully. It just keeps trying until it gets a confirmed result.

Multi-step Webinar Management

Setting up an event requires several steps. Mastra AI handles this sequence: first, call `get_webinar` to check details; then, if needed, call `update_meeting` for a related meeting. The framework manages the conditional branching. If checking webinar status fails, it doesn't crash—it executes an alternative path you defined.

Comprehensive User and Meeting Status Checks

To build a complete operational check, your agent calls `list_users` and then uses `get_meeting` for specific details. Mastra AI ensures that if listing users fails, the process doesn't halt. It lets you define retries for both of these tools. You can force it to retry getting meeting data until a successful response is returned.

Setup guide

Set up Zoom MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Zoom tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "zoom-mcp-client",
  servers: {
    "zoom-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Zoom Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Zoom tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Zoom transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zoom. 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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Built-in savings

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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 Zoom MCP in Mastra AI

Mastra AI uses automatic retries with exponential backoff. If the `create_meeting` call fails, it waits a bit and tries again, managing the failure path so your workflow doesn't break.
Yes. You can use the `get_webinar` tool to pull existing data, then conditionally trigger an update via a related action within your complex workflow engine.
You simply expose `list_users` as a tool. Your agent framework calls this, and if the API endpoint has transient issues, Mastra AI handles the retries automatically.
Yes. You can build workflows that touch user configurations (`get_user`), meetings (`list_meetings`), and webinars. The framework manages these different types of data sources.
This server handles configuration data for users, scheduled meetings, and webinar details. You manage both the creation and retrieval of these three core resources.

Start using the Zoom MCP today

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