How to integrate Zoom MCP with Pydantic AI

This guide walks you through connecting Zoom to Pydantic AI 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 Pydantic AI agent real control over a Zoom account through Composio's Zoom MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Zoom is a video conferencing and online meeting platform with features like breakout rooms and screen sharing. It helps teams and organizations connect and collaborate from anywhere with ease.

89 Tools11 Triggers

Introduction

This guide walks you through connecting Zoom to Pydantic AI 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 Pydantic AI 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

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Zoom
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Zoom workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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

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

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

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

What is Composio SDK?

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

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

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

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

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Zoom
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Zoom
  • MCPServerStreamableHTTP connects to the Zoom MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Zoom
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["zoom"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an 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 session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
zoom_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[zoom_mcp],
    instructions=(
        "You are a Zoom assistant. Use Zoom tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Zoom endpoint
  • The agent uses GPT-5 to interpret user commands and perform Zoom operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Zoom.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Zoom API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Zoom
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["zoom"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    zoom_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[zoom_mcp],
        instructions=(
            "You are a Zoom assistant. Use Zoom tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Zoom.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

Conclusion

You've built a Pydantic AI agent that can interact with Zoom through Composio's Tool Router. With this setup, your agent can perform real Zoom actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Zoom for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS & TRIGGERS

Supported Tools and Triggers

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

Add a meeting registrant

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

Add a webinar registrant

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

Add project collaborators

Adds one or more collaborators to a whiteboard project.

Add whiteboard collaborator

Adds one or more collaborators to a whiteboard.

Apply classification to whiteboard

Applies or updates a classification label on a whiteboard.

Create a meeting

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

Create whiteboard project

Creates a new whiteboard project in Zoom.

Create a whiteboard

Creates a new whiteboard for the authenticated user.

Create whiteboard export

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

Create ZRA conversation

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

Create ZRA conversation comment

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

Create ZRA CRM accounts

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

Create ZRA CRM contacts

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

Create ZRA CRM deals

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

Bulk import ZRA CRM leads

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

Create ZRA CRM settings

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

Create ZRA user conversation

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

Delete a meeting

Delete or cancel a scheduled Zoom meeting.

Delete meeting recordings

Deletes all cloud recordings for a meeting or webinar.

Delete whiteboard project

Deletes a whiteboard project by its ID.

Remove project collaborator

Removes a collaborator from a whiteboard project.

Delete whiteboard

Deletes a whiteboard by its unique identifier.

Delete whiteboard collaborator

Removes a collaborator from a whiteboard.

Delete ZRA conversation

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

Delete ZRA conversation comment

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

Delete ZRA CRM settings

Deletes CRM settings for Zoom Revenue Accelerator (ZRA).

Delete ZRA deal activities

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

Download imported whiteboard file

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

Download whiteboard export

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

Download whiteboard session activity

Downloads the activity archive file for a whiteboard archiving session.

Get a meeting

Retrieves detailed information about a Zoom meeting by its ID.

Get a meeting summary (Paid accounts only)

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

Get a webinar

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

Get daily usage report

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

Get IQ conversation content analysis

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

Get IQ deal

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

Get marketplace user apps

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

Get marketplace user entitlements

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

Get meeting recordings

To download meeting recordings, use `download_url`.

Get past meeting participants

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

Get whiteboard project

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

Get a user

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

Get a whiteboard

Retrieves details about a specific whiteboard document.

Get whiteboard export status

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

Get a whiteboard session

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

Get ZRA conversation comments

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

Get ZRA conversation interactions

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

Get ZRA conversation scorecards

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

Get ZRA deal activities

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

Import whiteboard

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

List all recordings

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

List archived files

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

List devices

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

List marketplace app custom fields

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

List meetings

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

List meeting summary templates

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

List past meeting instances

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

List project collaborators

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

List whiteboard projects

Lists all whiteboard projects accessible to the user.

List user collaboration devices

Tool to list collaboration devices associated with a user.

Get user settings

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

List webinar participants

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

List webinar registrants

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

List webinars

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

List whiteboards

Lists all whiteboards accessible to the user.

List ZRA conversations

Tool to list all conversations in Zoom Revenue Accelerator.

List ZRA CRM accounts

Lists CRM accounts from Zoom Revenue Accelerator by account IDs.

List ZRA CRM contacts

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

List ZRA CRM deals

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

List ZRA CRM leads

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

List ZRA CRM settings

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

List ZRA deals

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

List ZRA scheduled items

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

List ZRA settings indicators

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

List ZRA user conversation playlists

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

Move whiteboards to project

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

Remove whiteboard classification

Removes the classification label from a whiteboard.

Remove whiteboards from project

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

Search company contacts

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

Update a meeting

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

Update classification label

Updates an existing classification label in Zoom Whiteboard.

Update a whiteboard project

Updates the name of an existing whiteboard project in Zoom.

Update project collaborators

Updates collaborator permissions for a whiteboard project.

Update whiteboard collaborator

Updates collaborator settings for a whiteboard.

Update whiteboard share settings

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

Update ZRA conversation comment

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

Update ZRA conversation host

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

Upload Whiteboard File

Uploads a file to be used in Zoom Whiteboard.

Validate marketplace app manifest

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

FRAMEWORKS

How to build Zoom MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Zoom MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Zoom MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Zoom MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Zoom MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Zoom MCP with Claude Cowork

Codex logo

Codex

Use Zoom MCP with Codex

Cursor logo

Cursor

Use Zoom MCP with Cursor

OpenClaw logo

OpenClaw

Use Zoom MCP with OpenClaw

Hermes logo

Hermes

Use Zoom MCP with Hermes

CLI logo

CLI

Use Zoom MCP with CLI

Google ADK logo

Google ADK

Use Zoom MCP with Google ADK

LangChain logo

LangChain

Use Zoom MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Zoom MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Zoom MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Zoom MCP with LlamaIndex

CrewAI logo

CrewAI

Use Zoom MCP with CrewAI

OpenCode logo

OpenCode

Use Zoom MCP with OpenCode

VS Code logo

VS Code

Use Zoom MCP with VS Code

FAQ

Frequently asked questions

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

Yes, you can. Pydantic 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 tools.

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

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

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