How to integrate Zoom MCP with LangChain

This guide walks you through connecting Zoom to LangChain 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 LangChain 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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Introduction

This guide walks you through connecting Zoom to LangChain 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 LangChain 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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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Zoom project to Composio
  • Create a Tool Router MCP session for Zoom
  • Initialize an MCP client and retrieve Zoom tools
  • Build a LangChain agent that can interact with Zoom
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI 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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_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's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Zoom functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Zoom tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['zoom']
    }
);

const url = 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 session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Zoom tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "zoom-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Zoom MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Zoom tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

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

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

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;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

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

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['zoom']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "zoom-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Zoom related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    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;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with Zoom through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
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

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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

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. LangChain 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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