# How to integrate Google Meet MCP with Mastra AI

```json
{
  "title": "How to integrate Google Meet MCP with Mastra AI",
  "toolkit": "Google Meet",
  "toolkit_slug": "googlemeet",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/googlemeet/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/googlemeet/framework/mastra-ai.md",
  "updated_at": "2026-05-12T10:13:58.785Z"
}
```

## 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 schedule a new video meeting for tomorrow, list all meetings i hosted last week, get transcript from your most recent meeting 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.

## Also integrate Google Meet with

- [ChatGPT](https://composio.dev/toolkits/googlemeet/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/googlemeet/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/googlemeet/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/googlemeet/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/googlemeet/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/googlemeet/framework/codex)
- [Cursor](https://composio.dev/toolkits/googlemeet/framework/cursor)
- [VS Code](https://composio.dev/toolkits/googlemeet/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/googlemeet/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/googlemeet/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/googlemeet/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/googlemeet/framework/cli)
- [Google ADK](https://composio.dev/toolkits/googlemeet/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/googlemeet/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/googlemeet/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/googlemeet/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/googlemeet/framework/crew-ai)

## 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 meetings and recordings, so your agent can schedule new meetings, fetch past conference details, access recordings and transcripts, and manage meeting spaces on your behalf.
- Instant meeting scheduling and management: Ask your agent to create new Google Meet sessions or update existing meeting spaces with specific settings and access controls.
- Comprehensive meeting record retrieval: Have your agent list all past conference records, filter them by time or criteria, and pull up detailed information about any meeting.
- Access recordings and transcripts: Effortlessly retrieve recordings or full transcripts of your previous Google Meet conferences for reference, review, or sharing.
- Participant session insights: Let your agent list all participants in a given meeting or fetch detailed information about specific attendee sessions for attendance tracking or follow-up.
- Flexible post-meeting actions: Enable your agent to update meeting spaces, manage access, and ensure your Google Meet environment stays organized and up to date.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GOOGLEMEET_CREATE_MEET` | Create Google Meet Space | Creates a new Google Meet space with optional configuration. Does not attach to any calendar event — calendar linking requires a separate Calendar tool call. Capture `meetingUri`, `meetingCode`, and `space.name` from the response immediately for downstream lookups. Requires `meetings.space.created` OAuth scope. Returns HTTP 429 under rapid calls; apply exponential backoff. Use when you need a meeting space with specific access controls, moderation, recording, or transcription settings. |
| `GOOGLEMEET_END_ACTIVE_CONFERENCE` | End active conference | Ends an active conference in a Google Meet space. REQUIRES 'space_name' parameter (e.g., 'spaces/jQCFfuBOdN5z' or just 'jQCFfuBOdN5z'). Use when you need to terminate an ongoing conference in a specified space. This operation only succeeds if a conference is actively running in the space. You must always provide the space_name to identify which space's conference to end. Immediately drops all active participants — obtain explicit user confirmation before calling. |
| `GOOGLEMEET_GET_CONFERENCE_RECORD_BY_NAME` | Get conference record by name | Tool to get a specific conference record by its resource name. Use when you have the conference record ID and need to retrieve detailed information about a single meeting instance. |
| `GOOGLEMEET_GET_MEET` | Get Meet details | Retrieve details of a Google Meet space using its unique identifier. Newly created spaces may return incomplete data; retry after 1–3 seconds if needed. |
| `GOOGLEMEET_GET_PARTICIPANT_SESSION` | Get Participant Details | Retrieves detailed information about a specific participant session from a Google Meet conference record. Returns session details including start time and end time for a single join/leave session. A participant session represents each unique join or leave session when a user joins a conference from a device. If a user joins multiple times from the same device, each join creates a new session. PREREQUISITE: You must first obtain the participant session resource name. Use LIST_PARTICIPANT_SESSIONS with a conference record ID and participant ID to get available sessions and their resource names. The 'name' parameter is REQUIRED and must be in the format: 'conferenceRecords/{conference_record}/participants/{participant}/participantSessions/{participant_session}' |
| `GOOGLEMEET_GET_RECORDINGS_BY_CONFERENCE_RECORD_ID` | Get recordings by conference record ID | Retrieves recordings from Google Meet for a given conference record ID. Only returns recordings if recording was enabled and permitted by the organizer's domain policies; a valid conference_record_id does not guarantee recordings exist. After a meeting ends, recordings may take several minutes to process — an empty result may be temporary, not permanent. |
| `GOOGLEMEET_GET_TRANSCRIPT` | Get Transcript | Retrieves a specific transcript by its resource name. Returns transcript details including state (STARTED, ENDED, FILE_GENERATED), start/end times, and Google Docs destination. PREREQUISITE: Obtain the transcript resource name first by using GET_TRANSCRIPTS_BY_CONFERENCE_RECORD_ID or construct it from known IDs. |
| `GOOGLEMEET_GET_TRANSCRIPT_ENTRY` | Get Transcript Entry | Fetches a single transcript entry by resource name for targeted inspection or incremental processing. Use when you have a specific transcript entry resource name and need to retrieve its details (text, speaker, timestamps, language). PREREQUISITE: Obtain the transcript entry resource name first by using LIST_TRANSCRIPT_ENTRIES or construct it from known IDs. The 'name' parameter is REQUIRED and must follow the format: 'conferenceRecords/{conferenceRecordId}/transcripts/{transcriptId}/entries/{entryId}' |
| `GOOGLEMEET_GET_TRANSCRIPTS_BY_CONFERENCE_RECORD_ID` | Get transcripts by conference record ID | Retrieves all transcripts for a specific Google Meet conference using its conference_record_id. Transcripts require processing time after a meeting ends — empty results may be transient; retry after a delay before concluding no transcripts exist. Returns results only if transcription was enabled during the meeting and permitted by the organizer's domain policies; an empty list may also indicate transcription was never generated. |
| `GOOGLEMEET_LIST_CONFERENCE_RECORDS` | List Conference Records | Tool to list conference records. Use when you need to retrieve a list of past conferences, optionally filtering them by criteria like meeting code, space name, or time range. |
| `GOOGLEMEET_LIST_PARTICIPANTS` | List Participants | Lists the participants in a conference record. By default, ordered by join time descending. Use to retrieve all participants who joined a specific Google Meet conference, with support for filtering active participants (where `latest_end_time IS NULL`). |
| `GOOGLEMEET_LIST_PARTICIPANT_SESSIONS` | List Participant Sessions | Lists all participant sessions for a specific participant in a Google Meet conference. A participant session represents each unique join or leave session when a user joins a conference from a device. If a user joins multiple times from the same device, each join creates a new session. Returns session details including start time and end time for each session. |
| `GOOGLEMEET_LIST_RECORDINGS` | List Recordings | Tool to list recording resources from a conference record. Use when you need to retrieve recordings from a specific Google Meet conference. Recordings are created when meeting recording is enabled and saved to Google Drive as MP4 files. |
| `GOOGLEMEET_LIST_TRANSCRIPT_ENTRIES` | List Transcript Entries | Tool to list structured transcript entries (speaker/time/text segments) for a specific Google Meet transcript. Use when you need to access the detailed content of a transcript, including individual spoken segments with timestamps and speaker information. Note: The transcript entries returned by the API might not match the transcription in Google Docs due to interleaved speakers or post-generation modifications. |
| `GOOGLEMEET_UPDATE_SPACE` | Update Google Meet Space | Updates the settings of an existing Google Meet space. Requires organizer/host privileges and the meetings.space.created OAuth scope. REQUIRED PARAMETER: - name: The space identifier (e.g., 'spaces/jQCFfuBOdN5z'). This is always required to identify which space to update. OPTIONAL PARAMETERS: - config: The new configuration settings to apply (accessType, entryPointAccess, moderation, etc.) - updateMask: Specify which fields to update. If omitted, all provided config fields are updated. Example: To change access type, provide name='spaces/abc123' and config={'accessType': 'OPEN'} |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Google Meet MCP server is an implementation of the Model Context Protocol that connects your AI agent to Google Meet. It provides structured and secure access so your agent can perform Google Meet operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. 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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.
- This key lets your Mastra agent talk to Composio and reach Google Meet through MCP.

### 2. Install dependencies

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

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import libraries and validate environment

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
```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,
});
```

### 5. Create a Tool Router session for Google Meet

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
```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);
```

### 6. Configure Mastra MCP client and fetch tools

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
```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);
```

### 7. Create the Mastra agent

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
```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",
  });
```

### 8. Set up interactive chat interface

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
```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);
});
```

## Complete Code

```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

## How to build Google Meet MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/googlemeet/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/googlemeet/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/googlemeet/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/googlemeet/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/googlemeet/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/googlemeet/framework/codex)
- [Cursor](https://composio.dev/toolkits/googlemeet/framework/cursor)
- [VS Code](https://composio.dev/toolkits/googlemeet/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/googlemeet/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/googlemeet/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/googlemeet/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/googlemeet/framework/cli)
- [Google ADK](https://composio.dev/toolkits/googlemeet/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/googlemeet/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/googlemeet/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/googlemeet/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/googlemeet/framework/crew-ai)

## Related Toolkits

- [Gmail](https://composio.dev/toolkits/gmail) - 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.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place.
- [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.
- [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication.
- [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack.
- [2chat](https://composio.dev/toolkits/_2chat) - 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](https://composio.dev/toolkits/agent_mail) - 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.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Chatwork](https://composio.dev/toolkits/chatwork) - Chatwork is a team communication platform with group chats, file sharing, and task management. It helps businesses boost collaboration and streamline productivity.
- [Clickmeeting](https://composio.dev/toolkits/clickmeeting) - ClickMeeting is a cloud-based platform for running online meetings and webinars. It helps businesses and individuals host, manage, and engage virtual audiences with ease.
- [Confluence](https://composio.dev/toolkits/confluence) - Confluence is Atlassian's team collaboration and knowledge management platform. It helps your team organize, share, and update documents and project content in one secure workspace.
- [Dailybot](https://composio.dev/toolkits/dailybot) - DailyBot streamlines team collaboration with chat-based standups, reminders, and polls. It keeps work flowing smoothly in your favorite messaging platforms.
- [Dialmycalls](https://composio.dev/toolkits/dialmycalls) - Dialmycalls is a mass notification service for sending voice and text messages to contacts. It helps teams and organizations quickly broadcast urgent alerts and updates.
- [Dialpad](https://composio.dev/toolkits/dialpad) - Dialpad is a cloud-based business phone and contact center system for teams. It unifies voice, video, messaging, and meetings across your devices.
- [Discord](https://composio.dev/toolkits/discord) - Discord is a real-time messaging and VoIP platform for communities and teams. It lets users chat, share media, and collaborate across public and private channels.
- [Discordbot](https://composio.dev/toolkits/discordbot) - Discordbot is an automation tool for Discord servers that handles moderation, messaging, and user engagement. It helps communities run smoothly by automating routine and complex tasks.
- [Echtpost](https://composio.dev/toolkits/echtpost) - Echtpost is a secure digital communication platform for encrypted document and message exchange. It ensures confidential data stays private and protected during transmission.
- [Egnyte](https://composio.dev/toolkits/egnyte) - Egnyte is a cloud-based platform for secure file sharing, storage, and governance. It helps teams collaborate efficiently while maintaining data compliance and security.
- [Heartbeat](https://composio.dev/toolkits/heartbeat) - Heartbeat is a plug-and-play platform for building and managing online communities. It helps you organize users, channels, events, and discussions in one place.

## Frequently Asked Questions

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

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.

### Can I use Tool Router MCP with Mastra AI?

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.

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

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.

### How safe is my data with Composio Tool Router?

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
