How to integrate Zoom MCP with LlamaIndex

This guide walks you through connecting Zoom to LlamaIndex 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 LlamaIndex 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 LlamaIndex 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 LlamaIndex 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:
  • Set your OpenAI and Composio API keys
  • Install LlamaIndex and Composio packages
  • Create a Composio Tool Router session for Zoom
  • Connect LlamaIndex to the Zoom MCP server
  • Build a Zoom-powered agent using LlamaIndex
  • Interact with Zoom through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

  • ReAct Agent: Reasoning and acting pattern for tool-using agents
  • MCP Tools: Native support for Model Context Protocol
  • Context Management: Maintain conversation context across interactions
  • Async Support: Built 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 step10 STEPS
1

Prerequisites

Before you begin, make sure you have:
  • Python 3.8/Node 16 or higher installed
  • A Composio account with the API key
  • An OpenAI API key
  • A Zoom account and project
  • Basic familiarity with async Python/Typescript
2

Getting API Keys for OpenAI, Composio, and Zoom

OpenAI API key (OPENAI_API_KEY)
  • Go to the OpenAI dashboard
  • Create an API key if you don't have one
  • Assign it to OPENAI_API_KEY in .env
Composio API key and user ID
  • Log into the Composio dashboard
  • Copy your API key from Settings
    • Use this as COMPOSIO_API_KEY
  • Pick a stable user identifier (email or ID)
    • Use this as COMPOSIO_USER_ID
3

Installing dependencies

npm install @composio/llamaindex @llamaindex/openai @llamaindex/tools @llamaindex/workflow dotenv

Create a new Typescript project and install the necessary dependencies:

  • @composio/llamaindex: Composio's LlamaIndex integration
  • @llamaindex/openai: OpenAI LLM integration
  • @llamaindex/tools: MCP client for LlamaIndex
  • @llamaindex/workflow: Workflow framework for LlamaIndex
  • dotenv: Environment variable management
4

Set environment variables

bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

  • Authenticate with OpenAI's GPT-5 model
  • Connect to Composio's Tool Router
  • Identify your Composio user session for Zoom access
5

Import modules

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

Create a new file called zoom_llamaindex_agent.ts and import the required modules:

Key imports:

  • dotenv.config loads .env at runtime
  • readline gives us a simple CLI chat loop
  • Composio is the main Composio SDK client
  • mcp connects to an MCP endpoint
  • createAgent builds a LlamaIndex agent
  • openai configures the LLM backend
6

Load environment variables and initialize Composio

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!COMPOSIO_API_KEY) throw new Error("COMPOSIO_API_KEY is not set");
if (!COMPOSIO_USER_ID) throw new Error("COMPOSIO_USER_ID is not set");

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

7

Create a Tool Router session and build the agent function

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["zoom"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
        description : "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Zoom actions." ,
    llm,
    tools,
  });

  return agent;
}

What's happening here:

  • We create a Composio client using your API key and configure it with the LlamaIndex provider
  • We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, zoom)
  • The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
  • LlamaIndex will connect to this endpoint to dynamically discover and use the available Zoom tools.
  • The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.
8

Create an interactive chat loop

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

What's happening:

  • We're creating a direct terminal interface to chat with Zoom
  • The LLM's responses are streamed to the CLI for faster interaction.
  • The agent uses context to maintain conversation history
  • The agent processes the request, selects appropriate Zoom tools, and returns a result
  • We extract the answer from the result data structure and display it to the user
  • You can type 'quit' or 'exit' to stop the chat loop gracefully
  • Agent responses and any errors are streamed in a clear, readable format
9

Define the main entry point

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err) {
    console.error("Failed to start agent:", err);
    process.exit(1);
  }
}

main();

What's happening here:

  • We're orchestrating the entire application flow
  • The agent gets built with proper error handling
  • Then we kick off the interactive chat loop so you can start talking to Zoom
10

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with Zoom, then start asking questions.

Complete Code

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

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";
import { LlamaindexProvider } from "@composio/llamaindex";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) {
    throw new Error("OPENAI_API_KEY is not set in the environment");
  }
if (!COMPOSIO_API_KEY) {
    throw new Error("COMPOSIO_API_KEY is not set in the environment");
  }
if (!COMPOSIO_USER_ID) {
    throw new Error("COMPOSIO_USER_ID is not set in the environment");
  }

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["zoom"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
    description:
      "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Zoom actions." ,
    llm,
    tools,
  });

  return agent;
}

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err: any) {
    console.error("Failed to start agent:", err?.message ?? err);
    process.exit(1);
  }
}

main();

Conclusion

You've successfully connected Zoom to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes Zoom tools through an MCP endpoint
  • LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
  • The agent becomes more capable without increasing prompt size
  • Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.
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.

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. LlamaIndex 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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Zoom MCP Integration with LlamaIndex | Composio