How to integrate Zoom MCP with Vercel AI SDK v6

This guide walks you through connecting Zoom to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Zoom agent that can schedule a zoom meeting for tomorrow, add a registrant to your next webinar, summarize your last recorded meeting through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Zoom account through Composio's Zoom MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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89 Tools11 Triggers

Introduction

This guide walks you through connecting Zoom to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Zoom agent that can schedule a zoom meeting for tomorrow, add a registrant to your next webinar, summarize your last recorded meeting through natural language commands.

This guide will help you understand how to give your Vercel AI SDK agent real control over a Zoom account through Composio's Zoom MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Zoom with

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TL;DR

Here's what you'll learn:
  • How to set up and configure a Vercel AI SDK agent with Zoom integration
  • Using Composio's Tool Router to dynamically load and access Zoom tools
  • Creating an MCP client connection using HTTP transport
  • Building an interactive CLI chat interface with conversation history management
  • Handling tool calls and results within the Vercel AI SDK framework

What is Vercel AI SDK?

The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state.

Key features include:

  • streamText: Core function for streaming responses with real-time tool support
  • MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp
  • Step Counting: Control multi-step tool execution with stopWhen: stepCountIs()
  • OpenAI Provider: Native integration with OpenAI models

What is the Zoom MCP server, and what's possible with it?

The Zoom MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Zoom account. It provides structured and secure access to your meetings, webinars, and usage data, so your agent can schedule meetings, register attendees, retrieve recordings, summarize sessions, and analyze participant engagement on your behalf.

  • Automated meeting scheduling and management: Instruct your agent to create new Zoom meetings, fetch details for upcoming or past meetings, and manage all your session logistics effortlessly.
  • Seamless participant and registrant registration: Have your agent add attendees or registrants to meetings and webinars, handling all required information and permissions automatically.
  • On-demand access to recordings and summaries: Let your agent retrieve meeting recordings or generate AI-powered meeting summaries, making it easy to review or share past sessions.
  • Insightful participant analytics: Ask your agent to fetch detailed lists of past meeting participants or generate daily usage reports, helping you track engagement and attendance trends.
  • Efficient recording and data cleanup: Direct your agent to delete outdated recordings or manage your Zoom storage, keeping your account streamlined and organized.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before you begin, make sure you have:
  • Node.js and npm installed
  • A Composio account with API key
  • An OpenAI API key
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install required dependencies

bash
npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv

First, install the necessary packages for your project.

What you're installing:

  • @ai-sdk/openai: Vercel AI SDK's OpenAI provider
  • @ai-sdk/mcp: MCP client for Vercel AI SDK
  • @composio/core: Composio SDK for tool integration
  • ai: Core Vercel AI SDK
  • dotenv: Environment variable management
4

Set up environment variables

bash
OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here

Create a .env file in your project root.

What's needed:

  • OPENAI_API_KEY: Your OpenAI API key for GPT model access
  • COMPOSIO_API_KEY: Your Composio API key for tool access
  • COMPOSIO_USER_ID: A unique identifier for the user session
5

Import required modules and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});
What's happening:
  • We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio
  • The dotenv/config import automatically loads environment variables
  • The MCP client import enables connection to Composio's tool server
6

Create Tool Router session and initialize MCP client

typescript
async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["zoom"],
  });

  const mcpUrl = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Zoom tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned mcp object contains the URL and authentication headers needed to connect to the MCP server
  • This session provides access to all Zoom-related tools through the MCP protocol
7

Connect to MCP server and retrieve tools

typescript
const mcpClient = await createMCPClient({
  transport: {
    type: "http",
    url: mcpUrl,
    headers: session.mcp.headers, // Authentication headers for the Composio MCP server
  },
});

const tools = await mcpClient.tools();
What's happening:
  • We're creating an MCP client that connects to our Composio Tool Router session via HTTP
  • The mcp.url provides the endpoint, and mcp.headers contains authentication credentials
  • The type: "http" is important - Composio requires HTTP transport
  • tools() retrieves all available Zoom tools that the agent can use
8

Initialize conversation and CLI interface

typescript
let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to zoom, like summarize my last 5 emails, send an email, etc... :)))\n",
);

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();
What's happening:
  • We initialize an empty messages array to maintain conversation history
  • A readline interface is created to accept user input from the command line
  • Instructions are displayed to guide the user on how to interact with the agent
9

Handle user input and stream responses with real-time tool feedback

typescript
rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({ role: "user", content: trimmedInput });
  console.log("\nAgent is thinking...\n");

  try {
    const stream = streamText({
      model: openai("gpt-5"),
      messages,
      tools,
      toolChoice: "auto",
      stopWhen: stepCountIs(10),
      onStepFinish: (step) => {
        for (const toolCall of step.toolCalls) {
          console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • We use streamText instead of generateText to stream responses in real-time
  • toolChoice: "auto" allows the model to decide when to use Zoom tools
  • stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations
  • onStepFinish callback displays which tools are being used in real-time
  • We iterate through the text stream to create a typewriter effect as the agent responds
  • The complete response is added to conversation history to maintain context
  • Errors are caught and displayed with helpful retry suggestions

Complete Code

Here's the complete code to get you started with Zoom and Vercel AI SDK:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});

async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["zoom"],
  });

  const mcpUrl = session.mcp.url;

  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      url: mcpUrl,
      headers: session.mcp.headers, // Authentication headers for the Composio MCP server
    },
  });

  const tools = await mcpClient.tools();

  let messages: ModelMessage[] = [];

  console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
  console.log(
    "Ask any questions related to zoom, like summarize my last 5 emails, send an email, etc... :)))\n",
  );

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
      console.log("\nGoodbye!");
      rl.close();
      process.exit(0);
    }

    if (!trimmedInput) {
      rl.prompt();
      return;
    }

    messages.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    try {
      const stream = streamText({
        model: openai("gpt-5"),
        messages,
        tools,
        toolChoice: "auto",
        stopWhen: stepCountIs(10),
        onStepFinish: (step) => {
          for (const toolCall of step.toolCalls) {
            console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});

Conclusion

You've successfully built a Zoom agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback.

Key features of this implementation:

  • Real-time streaming responses for a better user experience with typewriter effect
  • Live tool execution feedback showing which tools are being used as the agent works
  • Dynamic tool loading through Composio's Tool Router with secure authentication
  • Multi-step tool execution with configurable step limits (up to 10 steps)
  • Comprehensive error handling for robust agent execution
  • Conversation history maintenance for context-aware responses

You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
TOOLS & TRIGGERS

Supported Tools and Triggers

Every Zoom action and event your agent gets out of the box.

Add a meeting registrant

Registers a participant for a Zoom meeting that has registration enabled.

Add a webinar registrant

Registers a participant for a Zoom webinar that has registration enabled.

Add project collaborators

Adds one or more collaborators to a whiteboard project.

Add whiteboard collaborator

Adds one or more collaborators to a whiteboard.

Apply classification to whiteboard

Applies or updates a classification label on a whiteboard.

Create a meeting

Enable Zoom meeting creation via user-level apps with "me".

Create whiteboard project

Creates a new whiteboard project in Zoom.

Create a whiteboard

Creates a new whiteboard for the authenticated user.

Create whiteboard export

Creates an export task to generate PDF exports and audit logs for specified whiteboards.

Create ZRA conversation

Tool to create a new conversation in Zoom Revenue Accelerator (ZRA).

Create ZRA conversation comment

Tool to create a comment on a Zoom Revenue Accelerator conversation.

Create ZRA CRM accounts

Tool to create or update CRM accounts in Zoom Revenue Accelerator (ZRA).

Create ZRA CRM contacts

Tool to bulk import or delete CRM contacts in Zoom Revenue Accelerator.

Create ZRA CRM deals

Tool to bulk import or delete CRM deals in Zoom Revenue Accelerator (ZRA).

Bulk import ZRA CRM leads

Tool to bulk import CRM leads into Zoom Revenue Accelerator (ZRA).

Create ZRA CRM settings

Tool to register a new CRM API integration for Zoom Revenue Accelerator (ZRA).

Create ZRA user conversation

Tool to create a new conversation in Zoom Revenue Accelerator for a specific user.

Delete a meeting

Delete or cancel a scheduled Zoom meeting.

Delete meeting recordings

Deletes all cloud recordings for a meeting or webinar.

Delete whiteboard project

Deletes a whiteboard project by its ID.

Remove project collaborator

Removes a collaborator from a whiteboard project.

Delete whiteboard

Deletes a whiteboard by its unique identifier.

Delete whiteboard collaborator

Removes a collaborator from a whiteboard.

Delete ZRA conversation

Deletes a ZRA (Zoom Revenue Accelerator) conversation by ID.

Delete ZRA conversation comment

Tool to delete a comment from a Zoom Revenue Accelerator conversation.

Delete ZRA CRM settings

Deletes CRM settings for Zoom Revenue Accelerator (ZRA).

Delete ZRA deal activities

Tool to delete activities from a Zoom Revenue Accelerator (ZRA) deal.

Download imported whiteboard file

Downloads a specific file that was imported into a whiteboard, including images, PDFs, DOCX, and other supported file formats.

Download whiteboard export

Downloads the exported whiteboard content for a completed whiteboard export task.

Download whiteboard session activity

Downloads the activity archive file for a whiteboard archiving session.

Get a meeting

Retrieves detailed information about a Zoom meeting by its ID.

Get a meeting summary (Paid accounts only)

IMPORTANT: This action requires a PAID Zoom account (Pro, Business, or Enterprise plan).

Get a webinar

Access Zoom Webinar details requires Pro or higher plan and Webinar add-on.

Get daily usage report

The daily report provides Zoom service usage details, like new users, meetings, participants, and minutes per day for a month, requiring a Pro plan or higher.

Get IQ conversation content analysis

Tool to retrieve content analysis for a Zoom IQ conversation by its ID.

Get IQ deal

Tool to get details of a specific deal in Zoom Revenue Accelerator (formerly Zoom IQ).

Get marketplace user apps

Retrieves a paginated list of Zoom Marketplace apps installed for a specific user.

Get marketplace user entitlements

Retrieves marketplace entitlements for a specific Zoom user by ID or 'me'.

Get meeting recordings

To download meeting recordings, use `download_url`.

Get past meeting participants

Retrieves the list of participants who attended a past (ended) Zoom meeting.

Get whiteboard project

Retrieves detailed information about a specific whiteboard project by its ID.

Get a user

Retrieves detailed information about a specific Zoom user by ID, email, or 'me'.

Get a whiteboard

Retrieves details about a specific whiteboard document.

Get whiteboard export status

Retrieves the status of a whiteboard export task by its task ID.

Get a whiteboard session

Retrieves detailed information about a specific whiteboard session by its session ID.

Get ZRA conversation comments

Tool to retrieve comments for a specific Zoom Revenue Accelerator (ZRA) conversation.

Get ZRA conversation interactions

Retrieves interaction details for a specific Zoom Revenue Accelerator (ZRA) conversation.

Get ZRA conversation scorecards

Tool to retrieve scorecards for a specific conversation in Zoom Revenue Accelerator.

Get ZRA deal activities

Tool to retrieve activities associated with a Zoom Revenue Accelerator (ZRA) deal.

Import whiteboard

Initiates an import of a whiteboard from an external source (Miro, Mural, or Visio files).

List all recordings

This text details how to list Zoom cloud recordings for a user, notably by using "me" for user-level apps and requiring an OAuth token for access.

List archived files

Lists archived meeting and webinar files within a specified date range (max 7 days).

List devices

Lists devices in your Zoom account managed through Zoom Device Management (ZDM).

List marketplace app custom fields

Tool to retrieve custom fields configured for a Zoom Marketplace app.

List meetings

This Zoom API lists a user's scheduled meetings using the `me` value for user-level apps, excluding instant meetings and only showing unexpired ones.

List meeting summary templates

Tool to retrieve a list of meeting summary templates for a specified user.

List past meeting instances

Tool to retrieve all UUIDs for past instances of a given meeting.

List project collaborators

Lists all collaborators for a whiteboard project, including their roles and permissions.

List whiteboard projects

Lists all whiteboard projects accessible to the user.

List user collaboration devices

Tool to list collaboration devices associated with a user.

Get user settings

Tool to retrieve a user's settings including meeting scheduling, in-meeting features, email notifications, recording, telephony, and security preferences.

List webinar participants

Get a list of past webinar participants with a Pro plan or above plus an add-on.

List webinar registrants

Retrieves the list of registrants for a webinar with registration enabled.

List webinars

The API lists all scheduled webinars for Zoom users with a webinar plan, using `me` for user-level apps.

List whiteboards

Lists all whiteboards accessible to the user.

List ZRA conversations

Tool to list all conversations in Zoom Revenue Accelerator.

List ZRA CRM accounts

Lists CRM accounts from Zoom Revenue Accelerator by account IDs.

List ZRA CRM contacts

Tool to retrieve CRM contact information from Zoom IQ Revenue Accelerator (ZRA).

List ZRA CRM deals

Tool to retrieve CRM deal information from Zoom Revenue Accelerator (ZRA).

List ZRA CRM leads

Tool to retrieve CRM lead information from Zoom IQ Revenue Accelerator (ZRA).

List ZRA CRM settings

Tool to retrieve the current CRM API registration information for Zoom Revenue Accelerator (ZRA).

List ZRA deals

Tool to list deals from Zoom Revenue Accelerator (ZRA).

List ZRA scheduled items

Tool to list scheduled Zoom Revenue Accelerator (ZRA) items.

List ZRA settings indicators

Tool to retrieve account indicator settings for Zoom Revenue Accelerator (ZRA).

List ZRA user conversation playlists

Tool to list conversation playlists for a specific user in Zoom Revenue Accelerator.

Move whiteboards to project

Moves one or more whiteboards to a specified Zoom Whiteboard project.

Remove whiteboard classification

Removes the classification label from a whiteboard.

Remove whiteboards from project

Removes one or more whiteboards from a specified Zoom Whiteboard project.

Search company contacts

Tool to search company contacts in Zoom by first name, last name, or email.

Update a meeting

To update a meeting via API, ensure `start_time` is future-dated; `recurrence` is needed.

Update classification label

Updates an existing classification label in Zoom Whiteboard.

Update a whiteboard project

Updates the name of an existing whiteboard project in Zoom.

Update project collaborators

Updates collaborator permissions for a whiteboard project.

Update whiteboard collaborator

Updates collaborator settings for a whiteboard.

Update whiteboard share settings

Updates the sharing settings for a whiteboard, controlling who can access and edit the whiteboard.

Update ZRA conversation comment

Tool to update a comment in a Zoom Revenue Accelerator conversation.

Update ZRA conversation host

Tool to update the host of a Zoom Revenue Accelerator (ZRA) conversation.

Upload Whiteboard File

Uploads a file to be used in Zoom Whiteboard.

Validate marketplace app manifest

Tool to validate a Zoom Marketplace app manifest before submission or update.

FRAMEWORKS

How to build Zoom MCP Agent with another framework

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Claude Code logo

Claude Code

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Claude Cowork logo

Claude Cowork

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Codex logo

Codex

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Cursor logo

Cursor

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OpenClaw logo

OpenClaw

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Hermes logo

Hermes

Use Zoom MCP with Hermes

CLI logo

CLI

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Google ADK logo

Google ADK

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LangChain logo

LangChain

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Mastra AI logo

Mastra AI

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LlamaIndex logo

LlamaIndex

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CrewAI logo

CrewAI

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OpenCode logo

OpenCode

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VS Code logo

VS Code

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FAQ

Frequently asked questions

With a standalone Zoom MCP server, the agents and LLMs can only access a fixed set of Zoom tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Zoom and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Vercel AI SDK v6 fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Zoom tools.

Yes, absolutely. You can configure which Zoom scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Zoom data and credentials are handled as safely as possible.

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