How to Use the Google Drive: Folders & Shared Drives MCP in OpenAI Agents SDK

Q: How do I connect Google Drive: Folders & Shared Drives to my OpenAI Agents SDK pipeline?

Install the package using pip, then configure MCPServerStreamableHttp with your Vinkius endpoint. Pass the server instance into your Agent constructor list. Enable tool caching to keep things fast.

Q: Can my OpenAI Agents SDK agent manage legacy Team Drives using Google Drive: Folders & Shared Drives?

Yes, the server exposes the listteamdrives tool specifically for older setups. Your agent can query these legacy drives and migrate their contents to modern Shared Drives using movefiletofolder.

Control your Google Drive directory hierarchies and Shared Drives safely using an MCP Server built for OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Google Drive: Folders & Shared Drives MCP to OpenAI Agents SDK

Create your Vinkius account to connect Google Drive: Folders & Shared Drives to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Google Drive: Folders & Shared Drives with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run safe folder structures with OpenAI Agents SDK

Stop letting your agents run wild in your Google Drive. This MCP server lets your OpenAI agents build clean hierarchies using `create_folder` and `move_file_to_folder` without creating a sprawling mess. You get to set guardrails in Python to verify paths before any directory is touched. If an agent tries to reorganize a sensitive shared drive, your guardrail system intercepts it. It uses `get_folder_metadata` to check existing structures first, keeping your shared files exactly where they belong.

Track permission changes across Shared Drives

Granting folder access should not be a black box. Use `add_folder_permission` and `remove_folder_permission` via specialized agents that pass tasks to one another. Your OpenAI dashboard traces every single handoff, showing you exactly why an agent decided to share a folder. By isolating permission tasks to a dedicated security agent, you prevent privilege escalation. The agent queries `list_shared_drives` to locate the correct target, applies the change, and logs the action immediately.

Fast directory discovery using tool caching

Waiting on slow API responses kills agent performance in production. When you initialize this MCP Server with tool caching enabled, your agent instantly knows how to map your Drive without lag. It runs `search_folders` and `list_folder_contents` in milliseconds. This setup avoids hitting Google's strict API rate limits during heavy operations. Your agent retrieves directory trees, checks shortcuts with `list_shortcuts`, and updates your database without dropping connections.

Setup guide

Set up Google Drive: Folders & Shared Drives MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Google Drive: Folders & Shared Drives tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Google Drive: Folders & Shared Drives tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Google Drive: Folders & Shared Drives tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Google Drive: Folders & Shared Drives Agent",
            instructions="You have access to Google Drive: Folders & Shared Drives tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Drive Folders. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Google Drive: Folders & Shared Drives now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Google Drive: Folders & Shared Drives MCP in OpenAI Agents SDK

Install the package using pip, then configure `MCPServerStreamableHttp` with your Vinkius endpoint. Pass the server instance into your Agent constructor list. Enable tool caching to keep things fast.

Yes, the server exposes the `list_team_drives` tool specifically for older setups. Your agent can query these legacy drives and migrate their contents to modern Shared Drives using `move_file_to_folder`.

You write validation functions that run before the agent executes tools like `remove_folder_permission`. If the agent attempts to modify a root directory permission, your Python code blocks the execution before the API call is ever made.

Instead of creating deep, nested structures that hide files, have your agent use `create_shortcut`. This keeps your Shared Drive flat and searchable while letting teams access files from multiple locations easily.

This MCP integration runs within an isolated, ephemeral V8 sandbox. Your folder names, file paths, and permission lists are never stored or used to train models. All traffic goes directly between your agent and the Google Drive API.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript