How to integrate Zoom Team Chat MCP with Autogen

This guide walks you through connecting Zoom Team Chat to AutoGen 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 AutoGen 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
Oauth2

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 AutoGen 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 AutoGen 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 SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Zoom Team Chat
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Zoom Team Chat tools
  • Run a live chat loop where you ask the agent to perform Zoom Team Chat operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Zoom Team Chat account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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 dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Zoom Team Chat via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Zoom Team Chat connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Zoom Team Chat session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["zoom_chat"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Zoom Team Chat tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Zoom Team Chat assistant agent with MCP tools
    agent = AssistantAgent(
        name="zoom_chat_assistant",
        description="An AI assistant that helps with Zoom Team Chat operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Zoom Team Chat tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Zoom Team Chat related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Zoom Team Chat tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Zoom Team Chat session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["zoom_chat"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Zoom Team Chat assistant agent with MCP tools
        agent = AssistantAgent(
            name="zoom_chat_assistant",
            description="An AI assistant that helps with Zoom Team Chat operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Zoom Team Chat related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Zoom Team Chat through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Zoom Team Chat, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
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

Mastra AI logo

Mastra AI

Use Zoom Team Chat MCP with Mastra AI

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. Autogen 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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Zoom Team Chat MCP Integration with AutoGen | Composio