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How to integrate Google Meet MCP with Mastra AI

Connect Mastra AI to Google Meet MCP. Schedule a new video meeting for tomorrow, list all meetings i hosted last week, and more using natural language, with authentication handled for you.

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Google Meet

Oauth2

Google Meet is a secure video conferencing platform for virtual meetings, chat, and screen sharing. It helps teams connect, collaborate, and communicate seamlessly from anywhere.

25 Tools

Managed auth

Connect Google Meet without auth hassles

We manage OAuth, API keys, token refresh, and scopes — you just build.

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Explore the MCP Gateway

Introduction

This guide walks you through connecting Google Meet to Mastra AI using the Composio tool router. By the end, you'll have a working Google Meet agent that can create meeting spaces, fetch recordings and transcripts, list participants, read smart notes, and end active conferences through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Google Meet account through Composio's Google Meet MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

TL;DR

Here's what you'll learn:

Set up your environment so Mastra, OpenAI, and Composio work together
Create a Tool Router session in Composio that exposes Google Meet tools
Connect Mastra's MCP client to the Composio generated MCP URL
Fetch Google Meet tool definitions and attach them as a toolset
Build a Mastra agent that can reason, call tools, and return structured results
Run an interactive CLI where you can chat with your Google Meet agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

MCP Client: Built-in support for Model Context Protocol servers
Toolsets: Organize tools into logical groups
Step Callbacks: Monitor and debug agent execution
OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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

The Google Meet MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Google Meet account. It provides structured and secure access to your meeting spaces, conferences, participants, recordings, and transcripts, so your agent can create meetings, update meeting settings, review attendance, retrieve recordings, and read transcripts on your behalf.

Meeting creation and configuration: Have your agent create new Google Meet spaces and update the settings of existing spaces.
Conference management: Direct your agent to review past conferences or end a conference that is currently active.
Participant and attendance review: Let the agent list meeting participants and inspect their individual attendance sessions.
Recording retrieval: Instruct your agent to find recordings associated with a completed conference.
Transcript review: Have your agent retrieve structured transcript entries with speaker, timing, and spoken text details.

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:

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

Step-by-step Guide

Step by step09 STEPS

Prerequisites

Before starting, make sure you have:

Node.js 18 or higher
A Composio account with an active API key
An OpenAI API key
Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key.
You need credits or a connected billing setup to use the models.
Store the key somewhere safe.

Composio API Key

Log in to the Composio dashboard.
Go to Settings and copy your API key.
This key lets your Mastra agent talk to Composio and reach Google Meet through MCP.

Install dependencies

bash

npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

@composio/core is the Composio SDK for creating MCP sessions
@mastra/core provides the Agent class
@mastra/mcp is Mastra's MCP client
@ai-sdk/openai is the model wrapper for OpenAI
dotenv loads environment variables from .env

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_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
COMPOSIO_USER_ID tells Composio which user this session belongs to
OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

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

const composio = new Composio({
  apiKey: composioAPIKey as string,
});

What's happening:

dotenv/config auto loads your .env so process.env.* is available
openai gives you a Mastra compatible model wrapper
Agent is the Mastra agent that will call tools and produce answers
MCPClient connects Mastra to your Composio MCP server
Composio is used to create a Tool Router session

Create a Tool Router session for Google Meet

typescript

async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["googlemeet"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Google Meet MCP URL:", composioMCPUrl);

What's happening:

create spins up a short-lived MCP HTTP endpoint for this user
The toolkits array contains "googlemeet" for Google Meet access
session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript

const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);

What's happening:

MCPClient takes an id for this client and a list of MCP servers
The headers property includes the x-api-key for authentication
getTools fetches the tool definitions exposed by the Google Meet toolkit

Create the Mastra agent

typescript

const agent = new Agent({
    name: "googlemeet-mastra-agent",
    instructions: "You are an AI agent with Google Meet tools via Composio.",
    model: "openai/gpt-5",
  });

What's happening:

Agent is the core Mastra agent
name is just an identifier for logging and debugging
instructions guide the agent to use tools instead of only answering in natural language
model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript

let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

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

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;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        googlemeet: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

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

What's happening:

messages keeps the full conversation history in Mastra's expected format
agent.generate runs the agent with conversation history and Google Meet toolsets
maxSteps limits how many tool calls the agent can take in a single run
onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Google Meet and Mastra AI:

typescript

import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

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

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["googlemeet"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      googlemeet: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "googlemeet-mastra-agent",
    instructions: "You are an AI agent with Google Meet tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

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

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { googlemeet: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Google Meet through Composio's Tool Router. You can extend this further by:

Adding other toolkits like Gmail, Slack, or GitHub
Building a web-based chat interface around this agent
Using multiple MCP endpoints to enable cross-app workflows

TOOLS

Supported Tools

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

Batch Update Google Meet Members

Update 1 to 500 Google Meet members in one space in a single batch.

Create Google Meet Space

Creates a new Google Meet space with optional access controls, moderation, recording, or transcription settings, without attaching it to a calendar event.

Create Member

Create a member in a Google Meet space, optionally assigning a co-host role.

Delete Google Meet Space Member

Deletes a member who was previously assigned roles in a Google Meet space.

End active conference

Ends an active conference in a specified Google Meet space, immediately dropping active participants.

Get conference record by name

Tool to get a specific conference record by its resource name.

Get Meet details

Retrieve details of a Google Meet space using its unique identifier.

Get Member

Get a configured Google Meet space member by resource name, including their email and meeting role.

Get Participant

Get a Google Meet conference participant by resource name, including their identity and first-join/last-leave times.

Get Participant Details

Retrieves detailed information about a specific participant session from a Google Meet conference record.

Get Recording

Get a Google Meet recording's metadata by resource name, including its state, timestamps, and Google Drive destination when available.

Get recordings by conference record ID

Retrieves recordings from Google Meet for a given conference record ID.

Get Smart Note

Get metadata for a Google Meet smart note generated by Take Notes with Gemini.

Get Transcript

Retrieves a specific transcript by its resource name.

Get Transcript Entry

Fetches a single transcript entry by resource name for targeted inspection or incremental processing.

Get transcripts by conference record ID

Lists a page of transcripts for a Google Meet conference record, with a continuation token when more results are available.

List Conference Records

Tool to list conference records.

List Members

List configured members of a Google Meet space, including their email and meeting role.

List Participants

Lists the participants in a conference record.

List Participant Sessions

Lists a page of participant sessions for a specific participant in a Google Meet conference, including session start and end times.

List Recordings

Tool to list recording resources from a conference record.

List Smart Notes

List metadata for smart notes generated by Take Notes with Gemini in a Google Meet conference.

List Transcript Entries

Tool to list structured transcript entries (speaker/time/text segments) for a specific Google Meet transcript.

Update Google Meet Member

Update an existing Google Meet space member's email or meeting role.

Update Google Meet Space

Updates the configuration of an existing Google Meet space, including access, moderation and artifact settings, using a supplied or automatically derived update mask.

FRAMEWORKS

How to build Google Meet MCP Agent with another framework

Claude Code

Use Google Meet MCP with Claude Code

Cursor

Use Google Meet MCP with Cursor

ChatGPT

Use Google Meet MCP with ChatGPT

Claude Cowork

Use Google Meet MCP with Claude Cowork

Antigravity

Use Google Meet MCP with Antigravity

OpenAI Agents SDK

Use Google Meet MCP with OpenAI Agents SDK

Claude Agent SDK

Use Google Meet MCP with Claude Agent SDK

Grok Bot

Use Google Meet MCP with Grok Bot

Muse

Use Google Meet MCP with Muse

Codex

Use Google Meet MCP with Codex

Grok Build

Use Google Meet MCP with Grok Build

VS Code

Use Google Meet MCP with VS Code

OpenCode

Use Google Meet MCP with OpenCode

OpenClaw

Use Google Meet MCP with OpenClaw

Hermes

Use Google Meet MCP with Hermes

Atomic Agent

Use Google Meet MCP with Atomic Agent

Pi

Use Google Meet MCP with Pi

DeepSeek Harness

Use Google Meet MCP with DeepSeek Harness

Google ADK

Use Google Meet MCP with Google ADK

LangChain

Use Google Meet MCP with LangChain

Vercel AI SDK

Use Google Meet MCP with Vercel AI SDK

LlamaIndex

Use Google Meet MCP with LlamaIndex

CrewAI

Use Google Meet MCP with CrewAI

Pydantic AI

Use Google Meet MCP with Pydantic AI

AutoGen

Use Google Meet MCP with AutoGen

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Gmail

Oauth2

Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.

Gong

BasicOauth2

Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.

2chat

Api Key

2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers.

Agent mail

Api Key

Agent mail provides AI agents with dedicated email inboxes for sending, receiving, and managing emails. It empowers agents to communicate autonomously with people, services, and other agents—no human intervention needed.

FAQ

Frequently asked questions

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

Yes, you can. Mastra 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 Google Meet tools.

Yes, absolutely. You can configure which Google Meet 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 Google Meet data and credentials are handled as safely as possible.

Start with Google Meet.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Google Meet tool your agent needs.Free to start.

Start building

How to integrate Google Meet MCP with Mastra AI

Connect Google Meet without auth hassles

Introduction

Also integrate Google Meet with

TL;DR

What is Mastra AI?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import libraries and validate environment

Create a Tool Router session for Google Meet

Configure Mastra MCP client and fetch tools

Create the Mastra agent

Set up interactive chat interface

Complete Code

Conclusion

Supported Tools

How to build Google Meet MCP Agent with another framework

Claude Code

Cursor

ChatGPT

Claude Cowork

Antigravity

OpenAI Agents SDK

Claude Agent SDK

Grok Bot

Muse

Codex

Grok Build

VS Code

OpenCode

OpenClaw

Hermes

Atomic Agent

Pi

DeepSeek Harness

Google ADK

LangChain

Vercel AI SDK

LlamaIndex

CrewAI

Pydantic AI

AutoGen

Explore Other Toolkits

Gmail

Gong

2chat

Agent mail

Frequently asked questions

What are the differences in Tool Router MCP and Google Meet MCP?

Can I use Tool Router MCP with Mastra AI?

Can I manage the permissions and scopes for Google Meet while using Tool Router?

How safe is my data with Composio Tool Router?

Start with Google Meet.It takes 30 seconds.