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How to Use the Google Drive MCP in OpenAI Agents SDK

Directly manage your Google Drive files using the OpenAI Agents SDK for production-ready, agent-driven automation.

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OpenAI Agents SDK

Connect Google Drive MCP to OpenAI Agents SDK

Create your Vinkius account to connect Google Drive 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.

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File Lifecycle Control in OpenAI Agents SDK

Your agent handles file creation and organization by calling `create_file` and `copy_file` directly. It removes the need for manual UI navigation when you need to scaffold new project directories or duplicate templates. Safety remains the priority. The system uses `get_file_metadata` to verify file state before your agent executes any `update_file` or `delete_file` commands.

Access Management and Sharing

Grant access to specific team members by invoking `create_permission`. Your agent checks existing access levels with `list_permissions` to ensure you only add users when strictly necessary. This workflow prevents over-sharing. The agent acts on your specific instructions to secure documents within the Google Drive environment.

Version History and Data Retrieval

Audit file changes by calling `list_revisions`. If you need to check the status of a document, the agent fetches the exact history without requiring you to open the web interface. Exporting content is just as direct. Use `export_file` to convert Docs or Sheets into requested formats, then let your agent handle the file movement.

Setup guide

Set up Google Drive 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. 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. 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 tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Google Drive 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 Agent",
            instructions="You have access to Google Drive tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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. 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.

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Common questions about Google Drive MCP in OpenAI Agents SDK

You use the `list_files` tool. It returns the file list directly to your agent, allowing it to parse names and IDs for further operations.
Yes. The `create_permission` and `list_permissions` tools allow your agent to read and modify access controls on your files.
It does. You trigger `delete_file` to move items to the trash, and `empty_trash` to purge them permanently from your storage.
The server only touches the files you explicitly authorize. It operates under your credentials, and you can audit every action via the agent's execution logs.
The MCP Server interfaces directly with the Drive API. You should implement retry logic in your agent code to handle potential rate limit responses gracefully.

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