# How to integrate Google Admin MCP with Pydantic AI

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

## Introduction

This guide walks you through connecting Google Admin to Pydantic AI 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 Pydantic AI 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)
- [CrewAI](https://composio.dev/toolkits/google_admin/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- How to set up your Composio API key and User ID
- How to create a Composio Tool Router session for Google Admin
- How to attach an MCP Server to a Pydantic AI agent
- How to stream responses and maintain chat history
- How to build a simple REPL-style chat interface to test your Google Admin workflows

## What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.
Key features include:
- Type Safety: Built on Pydantic for automatic data validation
- MCP Support: Native support for Model Context Protocol servers
- Streaming: Built-in support for streaming responses
- Async First: Designed for async/await patterns

## 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 with an active API key
- Basic familiarity with Python and async programming

### 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

Install the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like Google Admin
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your agent to Composio's API
- USER_ID associates your session with your account for secure tool access
- OPENAI_API_KEY to access OpenAI LLMs
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

What's happening:
- We load environment variables and import required modules
- Composio manages connections to Google Admin
- MCPServerStreamableHTTP connects to the Google Admin MCP server endpoint
- Agent from Pydantic AI lets you define and run the AI assistant
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
```

### 5. Create a Tool Router Session

What's happening:
- We're creating a Tool Router session that gives your agent access to Google Admin 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
```python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Google Admin
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["google_admin"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

What's happening:
- The MCP client connects to the Google Admin endpoint
- The agent uses GPT-5 to interpret user commands and perform Google Admin operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
google_admin_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[google_admin_mcp],
    instructions=(
        "You are a Google Admin assistant. Use Google Admin tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
```

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- Google Admin API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Google Admin.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
```

### 8. Run the application

What's happening:
- The asyncio loop launches the agent and keeps it running until you exit
```python
if __name__ == "__main__":
    asyncio.run(main())
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Google Admin
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["google_admin"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    google_admin_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[google_admin_mcp],
        instructions=(
            "You are a Google Admin assistant. Use Google Admin tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Google Admin.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

## Conclusion

You've built a Pydantic AI agent that can interact with Google Admin through Composio's Tool Router. With this setup, your agent can perform real Google Admin actions through natural language.
You can extend this further by:
- Adding other toolkits like Gmail, HubSpot, or Salesforce
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Google Admin for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## 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)
- [CrewAI](https://composio.dev/toolkits/google_admin/framework/crew-ai)

## 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 Pydantic AI?

Yes, you can. Pydantic 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 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.

---
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