Zoom with Vercel AI SDK

How to integrate Zoom MCP with Vercel AI SDK v6

Trusted by

GET STARTED FOR FREE GET A DEMO

30 min · no commitment · see it on your stack

Introduction Also integrate Zoom with TL;DR What is Vercel AI SDK What is the Zoom MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Zoom MCP Agent with another framework Explore Other Toolkits FAQ

Connect Zoom without Auth hassles

We manage OAuth, API Key, token refresh, and scopes, you just build.

Try for Free

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

ChatGPT Antigravity OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain Mastra AI LlamaIndex CrewAI

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.

Supported Tools & Triggers

Tools

Triggers

Add a meeting registrantRegisters a participant for a Zoom meeting that has registration enabled.

Add a webinar registrantRegisters a participant for a Zoom webinar that has registration enabled.

Add project collaboratorsAdds one or more collaborators to a whiteboard project.

Add whiteboard collaboratorAdds one or more collaborators to a whiteboard.

Apply classification to whiteboardApplies or updates a classification label on a whiteboard.

Create a meetingEnable Zoom meeting creation via user-level apps with "me".

Create whiteboard projectCreates a new whiteboard project in Zoom.

Create a whiteboardCreates a new whiteboard for the authenticated user.

Create whiteboard exportCreates an export task to generate PDF exports and audit logs for specified whiteboards.

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

Create ZRA conversation commentTool to create a comment on a Zoom Revenue Accelerator conversation.

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

Create ZRA CRM contactsTool to bulk import or delete CRM contacts in Zoom Revenue Accelerator.

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

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

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

Create ZRA user conversationTool to create a new conversation in Zoom Revenue Accelerator for a specific user.

Delete a meetingDelete or cancel a scheduled Zoom meeting.

Delete meeting recordingsDeletes all cloud recordings for a meeting or webinar.

Delete whiteboard projectDeletes a whiteboard project by its ID.

Remove project collaboratorRemoves a collaborator from a whiteboard project.

Delete whiteboardDeletes a whiteboard by its unique identifier.

Delete whiteboard collaboratorRemoves a collaborator from a whiteboard.

Delete ZRA conversationDeletes a ZRA (Zoom Revenue Accelerator) conversation by ID.

Delete ZRA conversation commentTool to delete a comment from a Zoom Revenue Accelerator conversation.

Delete ZRA CRM settingsDeletes CRM settings for Zoom Revenue Accelerator (ZRA).

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

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

Download whiteboard exportDownloads the exported whiteboard content for a completed whiteboard export task.

Download whiteboard session activityDownloads the activity archive file for a whiteboard archiving session.

Get a meetingRetrieves 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 webinarAccess Zoom Webinar details requires Pro or higher plan and Webinar add-on.

Get daily usage reportThe 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 analysisTool to retrieve content analysis for a Zoom IQ conversation by its ID.

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

Get marketplace user appsRetrieves a paginated list of Zoom Marketplace apps installed for a specific user.

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

Get meeting recordingsTo download meeting recordings, use `download_url`.

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

Get whiteboard projectRetrieves detailed information about a specific whiteboard project by its ID.

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

Get a whiteboardRetrieves details about a specific whiteboard document.

Get whiteboard export statusRetrieves the status of a whiteboard export task by its task ID.

Get a whiteboard sessionRetrieves detailed information about a specific whiteboard session by its session ID.

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

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

Get ZRA conversation scorecardsTool to retrieve scorecards for a specific conversation in Zoom Revenue Accelerator.

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

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

List all recordingsThis 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 filesLists archived meeting and webinar files within a specified date range (max 7 days).

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

List marketplace app custom fieldsTool to retrieve custom fields configured for a Zoom Marketplace app.

List meetingsThis 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 templatesTool to retrieve a list of meeting summary templates for a specified user.

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

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

List whiteboard projectsLists all whiteboard projects accessible to the user.

List user collaboration devicesTool to list collaboration devices associated with a user.

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

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

List webinar registrantsRetrieves the list of registrants for a webinar with registration enabled.

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

List whiteboardsLists all whiteboards accessible to the user.

List ZRA conversationsTool to list all conversations in Zoom Revenue Accelerator.

List ZRA CRM accountsLists CRM accounts from Zoom Revenue Accelerator by account IDs.

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

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

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

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

List ZRA dealsTool to list deals from Zoom Revenue Accelerator (ZRA).

List ZRA scheduled itemsTool to list scheduled Zoom Revenue Accelerator (ZRA) items.

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

List ZRA user conversation playlistsTool to list conversation playlists for a specific user in Zoom Revenue Accelerator.

Move whiteboards to projectMoves one or more whiteboards to a specified Zoom Whiteboard project.

Remove whiteboard classificationRemoves the classification label from a whiteboard.

Remove whiteboards from projectRemoves one or more whiteboards from a specified Zoom Whiteboard project.

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

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

Update classification labelUpdates an existing classification label in Zoom Whiteboard.

Update a whiteboard projectUpdates the name of an existing whiteboard project in Zoom.

Update project collaboratorsUpdates collaborator permissions for a whiteboard project.

Update whiteboard collaboratorUpdates collaborator settings for a whiteboard.

Update whiteboard share settingsUpdates the sharing settings for a whiteboard, controlling who can access and edit the whiteboard.

Update ZRA conversation commentTool to update a comment in a Zoom Revenue Accelerator conversation.

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

Upload Whiteboard FileUploads a file to be used in Zoom Whiteboard.

Validate marketplace app manifestTool to validate a Zoom Marketplace app manifest before submission or update.

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:

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

Step-by-step Guide

Prerequisites

Before you begin, make sure you have:

Node.js and npm installed
A Composio account with API key
An OpenAI API key

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.

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

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

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

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

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

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

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.

How to build Zoom MCP Agent with another framework

ChatGPT

Use Zoom MCP with ChatGPT

Antigravity

Use Zoom MCP with Antigravity

OpenAI Agents SDK

Use Zoom MCP with OpenAI Agents SDK

Claude Agent SDK

Use Zoom MCP with Claude Agent SDK

Claude Code

Use Zoom MCP with Claude Code

Claude Cowork

Use Zoom MCP with Claude Cowork

Codex

Use Zoom MCP with Codex

Cursor

Use Zoom MCP with Cursor

OpenClaw

Use Zoom MCP with OpenClaw

Hermes

Use Zoom MCP with Hermes

CLI

Use Zoom MCP with CLI

Google ADK

Use Zoom MCP with Google ADK

LangChain

Use Zoom MCP with LangChain

Mastra AI

Use Zoom MCP with Mastra AI

LlamaIndex

Use Zoom MCP with LlamaIndex

CrewAI

Use Zoom MCP with CrewAI

OpenCode

Use Zoom MCP with OpenCode

VS Code

Use Zoom MCP with VS Code

Explore Other Toolkits

Gmail

Oauth2

Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.

Outlook

Oauth2S2s Oauth2

Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.

Slack

Oauth2

Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place.

TOOLKIT MARKETPLACE

FAQ

What are the differences in Tool Router MCP and Zoom MCP?

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.

Can I use Tool Router MCP with Vercel AI SDK v6?

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.

Can I manage the permissions and scopes for Zoom while using Tool Router?

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.

How safe is my data with Composio Tool Router?

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.

Used by agents from

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

Get started for free Get a demo↗

Harsha GaddipatiCo-founder, Slashy

Karan skipped his own birthday party to fix our critical issue. It was 10 pm and he diverted his Waymo to help us instead. This really sets the bar, shows you the commitment you need to have when users rely on your software.

Abhi AryaCo-founder, Opennote

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

We chose Composio over Pipedream because it delivered depth where it mattered. It supported niche tools and tricky edge cases that other platforms simply ignored. Giving us confidence to scale without compromising.

Ryan YuFounder, Extra Thursday

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down in the complexities of managing agent auth would have been a death sentence for Extra Thursday.

Tomisin JenrolaFounder & CEO, SwarmZero

Before partnering with Composio, adding tool integrations was a slow, resource-intensive process. Each integration could take weeks or months of engineering time, and maintaining them meant constantly keeping up with API changes.

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

How to integrate Zoom MCP with Vercel AI SDK v6

Table of Contents

Connect Zoom without Auth hassles

Introduction

Also integrate Zoom with

TL;DR

What is Vercel AI SDK?

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

Supported Tools & Triggers

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install required dependencies

Set up environment variables

Import required modules and validate environment

Create Tool Router session and initialize MCP client

Connect to MCP server and retrieve tools

Initialize conversation and CLI interface

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

Complete Code

Conclusion

How to build Zoom MCP Agent with another framework

ChatGPT

Antigravity

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Gmail

Outlook

Slack

FAQ

What are the differences in Tool Router MCP and Zoom MCP?

Can I use Tool Router MCP with Vercel AI SDK v6?

Can I manage the permissions and scopes for Zoom while using Tool Router?

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability