How to Use the Google Cloud Storage MCP in Google ADK

Q: How do I audit service account permissions with Google Cloud Storage and Google ADK?

Use getprojectserviceaccount to see which account is active. You can then cross-reference this with getbucketiam to check for access gaps.

Q: What specific metadata does the server expose for Google Cloud Storage objects?

The getobjectmetadata tool returns standard GCS file properties. This includes size, content type, and creation timestamps for your agent to analyze.

Integrate Google Cloud Storage into your Google ADK agent for native cloud orchestration.

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Connect Google Cloud Storage MCP to Google ADK

Create your Vinkius account to connect Google Cloud Storage to Google ADK 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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Setup Google Cloud Storage with Google ADK

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Direct GCS control via Google ADK

Your agent interacts with storage buckets using the `list_buckets` and `get_bucket_metadata` tools. It pulls your file lists into its context window for immediate reasoning. By keeping the data in your Google Cloud environment, the agent avoids unnecessary egress overhead. It operates on your files as if they were local variables.

Automated object manipulation

The agent executes `upload_object` and `copy_object` to manage your data flows. It handles file movement between buckets while maintaining original metadata. If you need to replace files, the agent uses `delete_object` to remove old versions. It tracks every operation within your existing agent logs for auditability.

Compliance and IAM verification

Use `get_bucket_iam` and `list_bucket_acl` to audit your bucket security settings. The agent flags any permissions that don't match your project standards. It also verifies individual file access through `list_object_acl`. This ensures your agent respects the principle of least privilege across all your stored assets.

Setup guide

Set up Google Cloud Storage MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Google Cloud Storage tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Google Cloud Storage_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Google Cloud Storage tools via MCP.",
    tools=mcp_tools,
)

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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.

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Common questions about Google Cloud Storage MCP in Google ADK

Configure an McpToolset with your server URL. Add this toolset to your LlmAgent to start calling GCS operations immediately.

Absolutely. The ADK bridges these tools to the Gemini model, allowing it to reason over your bucket metadata and file contents.

The server uses your environment's service account credentials. It maps these to the tools so your agent authenticates without extra code.

Use `get_project_service_account` to see which account is active. You can then cross-reference this with `get_bucket_iam` to check for access gaps.

The `get_object_metadata` tool returns standard GCS file properties. This includes size, content type, and creation timestamps for your agent to analyze.

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