Google-Drive

This connector is optimized for AI agents. For the data replication connector, see Google Drive.

The Google-Drive agent connector is a Python package that equips AI agents to interact with Google-Drive through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP.

Google Drive is a cloud-based file storage and synchronization service that allows users to store files, share content, and collaborate on documents. This connector provides access to files, shared drives, permissions, comments, replies, revisions, and change tracking, including the ability to create, update, delete, and upload files.

Example prompts

The Google-Drive connector is optimized to handle prompts like these.

• List all files in my Google Drive
• Show me details for a recent file
• Download a recent file from my Drive
• Export a recent Google Doc as PDF
• Export a recent Google Sheet as CSV
• Show me the content of a recent file
• List all shared drives I have access to
• Show me details for a shared drive I have access to
• Show permissions for a recent file
• List comments on a recent file
• Show replies to a recent comment on a file
• Show revision history for a recent file
• Get my Drive storage quota and user info
• List files in a folder I have access to
• Create a new file in Google Drive
• Upload a document to Drive
• Delete a file from Drive
• Move a file to a different folder
• Show me files modified in the last week
• What changes have been made since my last sync?

Unsupported prompts

The Google-Drive connector isn't currently able to handle prompts like these.

• Update file permissions
• Add a comment to a file

Entities and actions

This connector supports the following entities and actions. For more details, see this connector's full reference documentation.

Entity	Actions
Files	List, Get, Create, Update, Delete, Download
Files Upload	Create
Files Export	Download
Drives	List, Get
Permissions	List, Get
Comments	List, Get
Replies	List, Get
Revisions	List, Get
Changes	List
Changes Start Page Token	Get
About	Get

Google-Drive API docs

See the official Google-Drive API reference.

SDK installation

uv pip install airbyte-agent-sdk

SDK usage

Connectors can run in hosted or open source mode.

Hosted

In hosted mode, API credentials are stored securely in Airbyte Agents. You provide your Airbyte credentials instead. If your Airbyte client can access multiple organizations, also set organization_id.

This example assumes you've already authenticated your connector with Airbyte. See Authentication to learn more about authenticating. If you need a step-by-step guide, see the hosted execution tutorial.

The connect() factory returns a fully typed GoogleDriveConnector and reads AIRBYTE_CLIENT_ID / AIRBYTE_CLIENT_SECRET from the environment:

Pydantic AI

Pydantic AI

from pydantic_ai import Agent
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.google_drive import GoogleDriveConnector

connector = connect("google-drive", workspace_name="<your_workspace_name>")

agent = Agent("openai:gpt-4o")

@agent.tool_plain
@GoogleDriveConnector.tool_utils
async def google_drive_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

LangChain

LangChain

from langchain_core.tools import tool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.google_drive import GoogleDriveConnector

connector = connect("google-drive", workspace_name="<your_workspace_name>")

@tool
@GoogleDriveConnector.tool_utils
async def google_drive_execute(entity: str, action: str, params: dict | None = None):
    """Execute Google-Drive connector operations."""
    result = await connector.execute(entity, action, params or {})
    # connector.execute returns a Pydantic envelope for typed actions; fall back to raw data otherwise.
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

OpenAI Agents

OpenAI Agents

from agents import Agent, function_tool
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.google_drive import GoogleDriveConnector

connector = connect("google-drive", workspace_name="<your_workspace_name>")

# strict_mode=False because `params: dict` is permissive and the default strict
# JSON schema rejects objects with additionalProperties.
@function_tool(strict_mode=False)
@GoogleDriveConnector.tool_utils(framework="openai_agents")
async def google_drive_execute(entity: str, action: str, params: dict | None = None):
    """Execute Google-Drive connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

agent = Agent(name="Google-Drive Assistant", tools=[google_drive_execute])

FastMCP

FastMCP

from fastmcp import FastMCP
from airbyte_agent_sdk import connect
from airbyte_agent_sdk.connectors.google_drive import GoogleDriveConnector

connector = connect("google-drive", workspace_name="<your_workspace_name>")

mcp = FastMCP("Google-Drive Agent")

@mcp.tool
@GoogleDriveConnector.tool_utils
async def google_drive_execute(entity: str, action: str, params: dict | None = None):
    """Execute Google-Drive connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

Or pass credentials explicitly (equivalent, useful when you're not loading them from the environment):

Pydantic AI

Pydantic AI

from pydantic_ai import Agent
from airbyte_agent_sdk.connectors.google_drive import GoogleDriveConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

connector = GoogleDriveConnector(
    auth_config=AirbyteAuthConfig(
        workspace_name="<your_workspace_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

agent = Agent("openai:gpt-4o")

@agent.tool_plain
@GoogleDriveConnector.tool_utils
async def google_drive_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

LangChain

LangChain

from langchain_core.tools import tool
from airbyte_agent_sdk.connectors.google_drive import GoogleDriveConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

connector = GoogleDriveConnector(
    auth_config=AirbyteAuthConfig(
        workspace_name="<your_workspace_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

@tool
@GoogleDriveConnector.tool_utils
async def google_drive_execute(entity: str, action: str, params: dict | None = None):
    """Execute Google-Drive connector operations."""
    result = await connector.execute(entity, action, params or {})
    # connector.execute returns a Pydantic envelope for typed actions; fall back to raw data otherwise.
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

OpenAI Agents

OpenAI Agents

from agents import Agent, function_tool
from airbyte_agent_sdk.connectors.google_drive import GoogleDriveConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

connector = GoogleDriveConnector(
    auth_config=AirbyteAuthConfig(
        workspace_name="<your_workspace_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

# strict_mode=False because `params: dict` is permissive and the default strict
# JSON schema rejects objects with additionalProperties.
@function_tool(strict_mode=False)
@GoogleDriveConnector.tool_utils(framework="openai_agents")
async def google_drive_execute(entity: str, action: str, params: dict | None = None):
    """Execute Google-Drive connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

agent = Agent(name="Google-Drive Assistant", tools=[google_drive_execute])

FastMCP

FastMCP

from fastmcp import FastMCP
from airbyte_agent_sdk.connectors.google_drive import GoogleDriveConnector
from airbyte_agent_sdk.types import AirbyteAuthConfig

connector = GoogleDriveConnector(
    auth_config=AirbyteAuthConfig(
        workspace_name="<your_workspace_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

mcp = FastMCP("Google-Drive Agent")

@mcp.tool
@GoogleDriveConnector.tool_utils
async def google_drive_execute(entity: str, action: str, params: dict | None = None):
    """Execute Google-Drive connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

Open source

In open source mode, you provide API credentials directly to the connector.

Pydantic AI

Pydantic AI

from pydantic_ai import Agent
from airbyte_agent_sdk.connectors.google_drive import GoogleDriveConnector
from airbyte_agent_sdk.connectors.google_drive.models import GoogleDriveAuthConfig

connector = GoogleDriveConnector(
    auth_config=GoogleDriveAuthConfig(
        access_token="<Your Google OAuth2 Access Token (optional, will be obtained via refresh)>",
        refresh_token="<Your Google OAuth2 Refresh Token>",
        client_id="<Your Google OAuth2 Client ID>",
        client_secret="<Your Google OAuth2 Client Secret>"
    )
)

agent = Agent("openai:gpt-4o")

@agent.tool_plain
@GoogleDriveConnector.tool_utils
async def google_drive_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

LangChain

LangChain

from langchain_core.tools import tool
from airbyte_agent_sdk.connectors.google_drive import GoogleDriveConnector
from airbyte_agent_sdk.connectors.google_drive.models import GoogleDriveAuthConfig

connector = GoogleDriveConnector(
    auth_config=GoogleDriveAuthConfig(
        access_token="<Your Google OAuth2 Access Token (optional, will be obtained via refresh)>",
        refresh_token="<Your Google OAuth2 Refresh Token>",
        client_id="<Your Google OAuth2 Client ID>",
        client_secret="<Your Google OAuth2 Client Secret>"
    )
)

@tool
@GoogleDriveConnector.tool_utils
async def google_drive_execute(entity: str, action: str, params: dict | None = None):
    """Execute Google-Drive connector operations."""
    result = await connector.execute(entity, action, params or {})
    # connector.execute returns a Pydantic envelope for typed actions; fall back to raw data otherwise.
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

OpenAI Agents

OpenAI Agents

from agents import Agent, function_tool
from airbyte_agent_sdk.connectors.google_drive import GoogleDriveConnector
from airbyte_agent_sdk.connectors.google_drive.models import GoogleDriveAuthConfig

connector = GoogleDriveConnector(
    auth_config=GoogleDriveAuthConfig(
        access_token="<Your Google OAuth2 Access Token (optional, will be obtained via refresh)>",
        refresh_token="<Your Google OAuth2 Refresh Token>",
        client_id="<Your Google OAuth2 Client ID>",
        client_secret="<Your Google OAuth2 Client Secret>"
    )
)

# strict_mode=False because `params: dict` is permissive and the default strict
# JSON schema rejects objects with additionalProperties.
@function_tool(strict_mode=False)
@GoogleDriveConnector.tool_utils(framework="openai_agents")
async def google_drive_execute(entity: str, action: str, params: dict | None = None):
    """Execute Google-Drive connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

agent = Agent(name="Google-Drive Assistant", tools=[google_drive_execute])

FastMCP

FastMCP

from fastmcp import FastMCP
from airbyte_agent_sdk.connectors.google_drive import GoogleDriveConnector
from airbyte_agent_sdk.connectors.google_drive.models import GoogleDriveAuthConfig

connector = GoogleDriveConnector(
    auth_config=GoogleDriveAuthConfig(
        access_token="<Your Google OAuth2 Access Token (optional, will be obtained via refresh)>",
        refresh_token="<Your Google OAuth2 Refresh Token>",
        client_id="<Your Google OAuth2 Client ID>",
        client_secret="<Your Google OAuth2 Client Secret>"
    )
)

mcp = FastMCP("Google-Drive Agent")

@mcp.tool
@GoogleDriveConnector.tool_utils
async def google_drive_execute(entity: str, action: str, params: dict | None = None):
    """Execute Google-Drive connector operations."""
    result = await connector.execute(entity, action, params or {})
    return result.model_dump(mode="json") if hasattr(result, "model_dump") else result

Authentication

For all authentication options, see the connector's authentication documentation.

Version information

Connector version: 0.2.5