# How to integrate Google Meet MCP with LangChain

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

## Introduction

This guide walks you through connecting Google Meet to LangChain 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 LangChain 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)
- [Vercel AI SDK](https://composio.dev/toolkits/googlemeet/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/googlemeet/framework/mastra-ai)
- [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:
- Get and set up your OpenAI and Composio API keys
- Connect your Google Meet project to Composio
- Create a Tool Router MCP session for Google Meet
- Initialize an MCP client and retrieve Google Meet tools
- Build a LangChain agent that can interact with Google Meet
- 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 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

No description provided.

### 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'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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters 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's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```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
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
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();
```

### 5. Initialize Composio client

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 Google Meet tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
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()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Google Meet 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 Google Meet tools as needed
```python
# Create Tool Router session for Google Meet
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['googlemeet']
)

url = session.mcp.url
```

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

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "googlemeet-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "googlemeet-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 });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Google Meet related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Google Meet 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);
    });
```

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

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

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['googlemeet']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "googlemeet-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Google Meet related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

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

```typescript
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: ['googlemeet']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "googlemeet-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 Google Meet 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 Google Meet 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.

## 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)
- [Vercel AI SDK](https://composio.dev/toolkits/googlemeet/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/googlemeet/framework/mastra-ai)
- [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 LangChain?

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 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.

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