# How to integrate Google Admin MCP with CrewAI

```json
{
  "title": "How to integrate Google Admin MCP with CrewAI",
  "toolkit": "Google Admin",
  "toolkit_slug": "google_admin",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/google_admin/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/google_admin/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:13:33.468Z"
}
```

## Introduction

This guide walks you through connecting Google Admin to CrewAI using the Composio tool router. By the end, you'll have a working Google Admin agent that can add new employee to all-staff group, list all users in marketing department, create a group for project leads through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Google Admin account through Composio's Google Admin MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Google Admin with

- [OpenAI Agents SDK](https://composio.dev/toolkits/google_admin/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/google_admin/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/google_admin/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/google_admin/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/google_admin/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/google_admin/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/google_admin/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/google_admin/framework/cli)
- [Google ADK](https://composio.dev/toolkits/google_admin/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/google_admin/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/google_admin/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/google_admin/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/google_admin/framework/llama-index)

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Google Admin connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Google Admin
- Build a conversational loop where your agent can execute Google Admin operations

## What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.
Key features include:
- Agent Roles: Define specialized agents with specific goals and backstories
- Task Management: Create tasks with clear descriptions and expected outputs
- Crew Orchestration: Combine agents and tasks into collaborative workflows
- MCP Integration: Connect to external tools through Model Context Protocol

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

The Google Admin 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 Admin account. It provides structured and secure access to your organization's Google Workspace admin console, so your agent can manage users, groups, aliases, and organizational units on your behalf.
- Automated user management: Easily create, update, or delete Google Workspace user accounts, letting your agent handle onboarding, offboarding, and user details with precision.
- Group administration and membership control: Have your agent create groups, list all group members, add or remove users from groups, and fetch group details to streamline team management.
- Email alias assignment: Direct your agent to add email aliases to user accounts, simplifying communication and identity management for your organization.
- Comprehensive user and group directory access: Ask your agent to list all users or groups in your domain, filter them as needed, and retrieve detailed information to support audits or directory syncs.
- Secure and efficient admin operations: Let your agent perform sensitive admin actions like deleting users or managing group settings—always with proper access controls and auditability.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GOOGLE_ADMIN_ADD_USER_ALIAS` | Add Alias to Google Workspace User | Adds an email alias to a Google Workspace user. |
| `GOOGLE_ADMIN_ADD_USER_TO_GROUP` | Add User to Google Workspace Group | Adds a user to a Google Workspace group with the specified role. |
| `GOOGLE_ADMIN_CREATE_GROUP` | Create Google Workspace Group | Creates a new Google Workspace group with the specified details. |
| `GOOGLE_ADMIN_CREATE_USER` | Create Google Workspace User | Creates a new Google Workspace user with the specified details. Fails if `primary_email` already exists; cannot update existing accounts. |
| `GOOGLE_ADMIN_DELETE_USER` | Delete Google Workspace User | Deletes a Google Workspace user permanently. This action cannot be undone. |
| `GOOGLE_ADMIN_GET_GROUP` | Get Google Workspace Group Details | Retrieves detailed information about a Google Workspace group. |
| `GOOGLE_ADMIN_GET_USER` | Get Google Workspace User Details | Retrieves detailed information about a Google Workspace user. |
| `GOOGLE_ADMIN_LIST_GROUP_MEMBERS` | List Google Workspace Group Members | Lists all members of a Google Workspace group with optional filtering and pagination. |
| `GOOGLE_ADMIN_LIST_GROUPS` | List Google Workspace Groups | Lists Google Workspace groups with optional filtering and pagination. |
| `GOOGLE_ADMIN_LIST_USERS` | List Google Workspace Users | Lists Google Workspace users with optional filtering and pagination. |
| `GOOGLE_ADMIN_REMOVE_USER_ALIAS` | Remove Alias from Google Workspace User | Removes an email alias from a Google Workspace user. |
| `GOOGLE_ADMIN_REMOVE_USER_FROM_GROUP` | Remove User from Google Workspace Group | Removes a user from a Google Workspace group, revoking their group access. |
| `GOOGLE_ADMIN_SUSPEND_USER` | Suspend/Unsuspend Google Workspace User | Suspends or unsuspends a Google Workspace user account. |
| `GOOGLE_ADMIN_UPDATE_GROUP_SETTINGS` | Update Google Workspace Group Settings | Updates settings for a Google Workspace group. |

## Supported Triggers

None listed.

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

The Google Admin MCP server is an implementation of the Model Context Protocol that connects your AI agent to Google Admin. It provides structured and secure access so your agent can perform Google Admin 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:
- Python 3.9 or higher
- A Composio account and API key
- A Google Admin connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 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

**What's happening:**
- composio connects your agent to Google Admin via MCP
- crewai provides Agent, Task, Crew, and LLM primitives
- crewai-tools[mcp] includes MCP helpers
- python-dotenv loads environment variables from .env
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID scopes the session to your account
- OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**What's happening:**
- CrewAI classes define agents and tasks, and run the workflow
- MCPServerHTTP connects the agent to an MCP endpoint
- Composio will give you a short lived Google Admin MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

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

### 5. Create a Composio Tool Router session for Google Admin

**What's happening:**
- You create a Google Admin only session through Composio
- Composio returns an MCP HTTP URL that exposes Google Admin tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["google_admin"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
```

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["google_admin"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

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

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")
```

## Conclusion

You now have a CrewAI agent connected to Google Admin through Composio's Tool Router. The agent can perform Google Admin operations through natural language commands.
Next steps:
- Add role-specific instructions to customize agent behavior
- Plug in more toolkits for multi-app workflows
- Chain tasks for complex multi-step operations

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

- [OpenAI Agents SDK](https://composio.dev/toolkits/google_admin/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/google_admin/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/google_admin/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/google_admin/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/google_admin/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/google_admin/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/google_admin/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/google_admin/framework/cli)
- [Google ADK](https://composio.dev/toolkits/google_admin/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/google_admin/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/google_admin/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/google_admin/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/google_admin/framework/llama-index)

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.
- [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.
- [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives.
- [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions.
- [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date.
- [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page.
- [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes.
- [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights.
- [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement.

## Frequently Asked Questions

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

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

### Can I use Tool Router MCP with CrewAI?

Yes, you can. CrewAI 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 Admin tools.

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

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

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