How to integrate Zoom Team Chat MCP with Mastra AI

This guide walks you through connecting Zoom Team Chat to Mastra AI using the Composio tool router. By the end, you'll have a working Zoom Team Chat agent that can create channels, manage shared spaces, add space members, bookmark messages, and set reminders through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Zoom Team Chat account through Composio's Zoom Team Chat MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Zoom Team Chat logoZoom Team Chat
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Zoom Team Chat is Zoom's persistent messaging service for channels, direct messages, threads, reactions, files, reminders, and shared spaces. It keeps team conversations organized and searchable inside the Zoom workspace.

44 Tools

Introduction

This guide walks you through connecting Zoom Team Chat to Mastra AI using the Composio tool router. By the end, you'll have a working Zoom Team Chat agent that can create channels, manage shared spaces, add space members, bookmark messages, and set reminders through natural language commands.

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

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

Also integrate Zoom Team Chat with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKLlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Zoom Team Chat tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Zoom Team Chat tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Zoom Team Chat agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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

The Zoom Team Chat 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 Team Chat account. It provides structured and secure access to your messages, channels, contacts, reminders, and shared spaces, so your agent can send messages, manage channels, organize conversations, set reminders, and coordinate shared spaces on your behalf.

  • Messaging and thread management: Have your agent send messages to channels or contacts, schedule messages, retrieve conversations and threads, and delete messages you no longer need.
  • Channel coordination: Let the agent create, find, join, archive, or delete channels, invite members, and review channel membership.
  • Message organization: Direct your agent to pin, bookmark, react to, or mark messages as read or unread, then review pinned and bookmarked content.
  • Reminders and follow-ups: Instruct your agent to create message reminders, list upcoming reminders, or remove reminders after tasks are complete.
  • Contacts and shared spaces: Have your agent find company contacts, create and manage shared spaces, add or remove members, and organize channels within those spaces.

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 starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Zoom Team Chat through MCP.
3

Install dependencies

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

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

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

if (!openaiAPIKey) 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 as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Zoom Team Chat

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["zoom_chat"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Zoom Team Chat MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "zoom_chat" for Zoom Team Chat access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Zoom Team Chat toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "zoom_chat-mastra-agent",
    instructions: "You are an AI agent with Zoom Team Chat tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\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({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        zoom_chat: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

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

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Zoom Team Chat toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Zoom Team Chat and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

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

if (!openaiAPIKey) 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 as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["zoom_chat"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      zoom_chat: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "zoom_chat-mastra-agent",
    instructions: "You are an AI agent with Zoom Team Chat tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

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

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { zoom_chat: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Zoom Team Chat through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
TOOLS

Supported Tools

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

Add Shared Space Members

Add members to a Zoom Team Chat shared space by email address or Zoom user ID.

Archive or Unarchive Channels

Archive or unarchive up to 10 Zoom Team Chat channels in one call.

Bookmark or Unbookmark Message

Add or remove a bookmark on a Zoom Team Chat message.

Create Channel

Create a new Zoom Team Chat channel for the authenticated user, optionally inviting initial members by email.

Create Message Reminder

Set a reminder on a Zoom Team Chat message, either after a delay (delay_seconds) or at an absolute time (remind_time).

Create Shared Space

Create a Zoom Team Chat shared space (a container that groups related channels).

Delete Channel

Delete a Zoom Team Chat channel the user owns or is a member of.

Delete Message

Delete a Zoom Team Chat message the connected user sent, identified by message_id plus the conversation it lives in.

Delete Message Reminder

Delete the reminder set on a Zoom Team Chat message.

Delete Scheduled Message

Delete a scheduled (draft) Zoom Team Chat message before it is sent, identified by draft_id plus the conversation it is addressed to.

Delete Shared Space

Delete a Zoom Team Chat shared space.

Get Channel

Get full information about a Zoom Team Chat channel, including its settings.

Get Chat Contact

Get a single Zoom Team Chat contact by email or user ID, optionally with live presence status.

Get Message

Get a single Zoom Team Chat message by ID, including its deep-link URL.

Get Message Thread

Retrieve a Zoom Team Chat message's thread: the parent message plus its replies since a given time.

Get Shared Space

Get details of a Zoom Team Chat shared space, including its owner and settings.

Invite Channel Members

Invite members to a Zoom Team Chat channel by email address.

Join Channel

Join a public Zoom Team Chat channel as the authenticated user.

Leave Channel

Leave a Zoom Team Chat channel.

List Bookmarks

List the authenticated user's bookmarked Zoom Team Chat messages, optionally filtered to one channel (to_channel) or one 1:1 contact (to_contact).

List Channel Members

List the members of a Zoom Team Chat channel.

List Channels

List the Zoom Team Chat channels the authenticated user is a member of.

List Chat Contacts

List the authenticated user's Zoom Team Chat contacts.

List Messages

List Zoom Team Chat messages exchanged in a channel or a 1:1 conversation, newest first (defaults to today).

List Pinned Messages

List the pinned messages of a Zoom Team Chat channel.

List Reminders

List the authenticated user's Zoom Team Chat message reminders.

List Scheduled Messages

List the user's scheduled (draft) Zoom Team Chat messages queued to send to a channel or a 1:1 contact.

List Chat Sessions

List the user's recent Zoom Team Chat sessions (channels and 1:1 conversations) within a time window.

List Shared Space Channels

List the channels grouped inside a Zoom Team Chat shared space.

List Shared Space Members

List the members and administrators of a Zoom Team Chat shared space.

List Shared Spaces

List the Zoom Team Chat shared spaces the authenticated user belongs to.

Mark Message Read or Unread

Mark a Zoom Team Chat message as read or unread.

Move Channels Into/Out of Shared Space

Move existing Zoom Team Chat channels into or out of a shared space.

Pin or Unpin Message

Pin or unpin a message in a Zoom Team Chat channel.

React to Message

Add or remove an emoji reaction on a Zoom Team Chat message.

Remove Channel Member

Remove a single member from a Zoom Team Chat channel.

Remove Shared Space Members

Remove members or administrators from a Zoom Team Chat shared space by user ID or member ID (the shared space owner cannot be removed).

Search Channels

Search Zoom Team Chat channels by name — fuzzy keywords or an exact channel name — across the channels the user has joined or the org's public channels.

Search Company Contacts

Search the connected user's organization directory for contacts by keyword (first name, last name, or email address).

Send Message

Send a Zoom Team Chat message to a channel or a 1:1 contact, optionally as a thread reply (reply_main_message_id) or scheduled for later (scheduled_time).

Star or Unstar Conversation

Star or unstar a Zoom Team Chat channel or contact for the authenticated user.

Update Channel

Rename a Zoom Team Chat channel or update its type/settings.

Update Message

Edit the text of an existing Zoom Team Chat message.

Update Shared Space

Update a Zoom Team Chat shared space's name, description, or settings.

FRAMEWORKS

How to build Zoom Team Chat MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Zoom Team Chat MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Zoom Team Chat MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Zoom Team Chat MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Zoom Team Chat MCP with Claude Cowork

Codex logo

Codex

Use Zoom Team Chat MCP with Codex

OpenClaw logo

OpenClaw

Use Zoom Team Chat MCP with OpenClaw

Hermes logo

Hermes

Use Zoom Team Chat MCP with Hermes

CLI logo

CLI

Use Zoom Team Chat MCP with CLI

Google ADK logo

Google ADK

Use Zoom Team Chat MCP with Google ADK

LangChain logo

LangChain

Use Zoom Team Chat MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Zoom Team Chat MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Zoom Team Chat MCP with LlamaIndex

CrewAI logo

CrewAI

Use Zoom Team Chat MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. Mastra AI 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 Team Chat tools.

Yes, absolutely. You can configure which Zoom Team Chat 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 Team Chat data and credentials are handled as safely as possible.

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