How to integrate Zoom MCP with Autogen

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Introduction

This guide walks you through connecting Zoom to AutoGen 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 AutoGen 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

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
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Zoom tools
  • Run a live chat loop where you ask the agent to perform Zoom 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 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:

  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

Prerequisites

You will need:

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

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 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 via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

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 connections to use

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 session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["zoom"]
    )
    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 tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to

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

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 assistant agent with MCP tools
    agent = AssistantAgent(
        name="zoom_assistant",
        description="An AI assistant that helps with Zoom 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 tools from the workbench

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Zoom 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 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 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 session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["zoom"]
    )
    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 assistant agent with MCP tools
        agent = AssistantAgent(
            name="zoom_assistant",
            description="An AI assistant that helps with Zoom 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 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 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, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

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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 Autogen?

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 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.

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