How to Use the Google Cloud Storage MCP in OpenAI Agents SDK

Q: Does this MCP server support HMAC key management for OpenAI Agents SDK?

It does. You can call listhmackeys to audit existing keys. This helps you track credential rotation cycles directly from your agent's execution logs.

Manage your Google Cloud Storage buckets directly inside your OpenAI Agents SDK production pipelines.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Google Cloud Storage MCP to OpenAI Agents SDK

Create your Vinkius account to connect Google Cloud Storage 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 Cloud Storage with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated bucket and object discovery

Your agent inspects your storage infrastructure by calling `list_buckets` and `list_objects`. It maps your directory structure without manual polling. Once the agent identifies a target, it uses `get_bucket_metadata` to verify configuration settings before proceeding with any data operation.

Secure file lifecycle management

Use `upload_object` to push data from your agent into specific buckets. You control the state of your cloud assets through direct tool execution. When assets become obsolete, the agent triggers `delete_object` to clean up your environment. All actions follow your defined agent guardrails to prevent unauthorized deletions.

Granular security and IAM auditing

The agent monitors access by invoking `get_bucket_iam` and `list_bucket_acl`. It checks if your current policy aligns with your security requirements. You can also verify specific file access using `list_object_acl` or check project service account status via `get_project_service_account` to ensure your agent stays within its assigned scope.

Setup guide

Set up Google Cloud Storage 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 Cloud Storage tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Google Cloud Storage 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 Cloud Storage 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 Cloud Storage Agent",
            instructions="You have access to Google Cloud Storage 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 Cloud Storage. 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 Cloud Storage 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 Cloud Storage MCP in OpenAI Agents SDK

Initialize an MCPServerStreamableHttp instance with your endpoint. Pass this server into your Agent constructor using the mcp_servers parameter for instant tool discovery.

Yes. You can filter the tools list before passing it to your agent definition. This ensures your agent only accesses the specific storage operations you permit.

It does. You can call `list_hmac_keys` to audit existing keys. This helps you track credential rotation cycles directly from your agent's execution logs.

The server iterates through your bucket contents using standard SDK pagination. Your agent receives the results as a clean list ready for further processing.

This server acts as a proxy and never stores your credentials. It relies on the environment variables you provide, and all requests are ephemeral.

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