# Google Cloud Storage MCP for AI Agents AI Agent Connect

> Google Cloud Storage MCP lets you manage your GCS buckets and objects directly through your AI client. Use it to list files, upload data, and audit security permissions without opening the Google Cloud Console. It's built for anyone who needs to interact with cloud storage data quickly and accurately.

## Overview
- **Category:** industry-titans
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_HZ0fp8h3qE7JPzT1zEcEb6LOl8tyB00DqcCfsN2D/ai-agent-connect
- **Tags:** bucket-management, file-storage, data-archiving, object-metadata, cloud-ops, access-control

## Description

Imagine you are in the middle of a deployment and need to verify if a specific build artifact landed in your production bucket. Instead of switching tabs and navigating the Google Cloud Console, you just ask your agent to check the file for you. This Connector turns your AI client into a cloud storage administrator. You can browse folders, check file sizes, and move objects between buckets using plain English. It handles the heavy lifting of the JSON API so you don't have to worry about syntax. If you're looking for a way to organize your cloud assets, this is a core part of the Vinkius catalog that makes cloud operations feel like a conversation. You can also audit your security settings to make sure your buckets aren't public, giving you a layer of oversight that usually takes a lot of clicking. It handles the technical details of bucket exploration and metadata retrieval so you can stay focused on your actual work.

## Tools

### copy_object
Copy a file between different buckets or within the same bucket. This is useful for moving data between environments.

### delete_object
Remove a specific file from a bucket. Use this to clean up old logs or temporary files.

### get_bucket_iam
Retrieve the IAM policy for a specific bucket. This helps you see exactly who has access to your data.

### get_bucket_metadata
Get details like location and storage class for a bucket. Use this to check your storage costs and settings.

### get_object_metadata
See the size and metadata for a specific file. This is perfect for verifying file integrity.

### get_project_service_account
Check the storage service account for your project. Use this to verify service identities.

### list_bucket_acl
View the access control list for a bucket. This lets you see permissions at a glance.

### list_buckets
List every bucket currently in your project. Use this to get a high level view of your storage.

### list_hmac_keys
See the HMAC keys for a specific service account. This helps with legacy or cross-cloud integrations.

### list_object_acl
Check the permissions for a single object. Use this to verify granular access controls.

### list_objects
Browse all files inside a bucket, including those in folders. This helps you find specific data quickly.

### upload_object
Upload a new file or text content to a bucket. Use this to put data into storage via your agent.

## Prompt Examples

**Prompt:** 
```
Check if the production bucket has any public access.
```

**Response:** 
```
I've audited the permissions for your production bucket.

**Security Summary**:
- **Public Access**: None detected. The bucket is restricted to internal service accounts.
- **IAM Policy**: Only the `admin` and `developer` roles have write access.
- **ACLs**: All permissions are currently set to private.

Would you like me to list the specific identities with access?
```

**Prompt:** 
```
List all files in the 'user-uploads' bucket that start with 'images/'.
```

**Response:** 
```
I found 12 objects in the `user-uploads` bucket with that prefix:

| File Name | Size | Last Modified |
| :--- | :--- | :--- |
| `images/user1_avatar.png` | 2.4 MB | 2024-05-12 |
| `images/user2_header.jpg` | 1.1 MB | 2024-05-14 |
| `images/user3_icon.svg` | 45 KB | 2024-05-15 |

(Showing 3 of 12 results...)
```

**Prompt:** 
```
Move the file 'backup_v1.zip' from the 'temp' bucket to the 'archive' bucket.
```

**Response:** 
```
I've initiated the move for you.

**Operation Details**:
- **Source**: `temp` bucket
- **Destination**: `archive` bucket
- **File**: `backup_v1.zip`

The file has been successfully copied to the archive bucket. Would you like me to delete it from the temporary bucket as well?
```

## Capabilities

### Upload files
Send text content or objects to your buckets instantly.

### Audit permissions
Check bucket ACLs and IAM policies for security compliance.

### Browse buckets
List files and folders using prefixes to find specific data.

### Manage metadata
Get details on storage classes, locations, and object sizes.

### Move data
Copy objects between different buckets or within the same bucket.

## Use Cases

### Verifying production logs
A cloud engineer asks the agent to find the logs from last night in the staging bucket. The agent uses list_objects to confirm they exist.

### Security permission audit
A security team member asks if any buckets are public. The agent uses list_bucket_acl to check permissions across the project.

### Moving datasets between buckets
A data scientist needs to move a large dataset to an archive bucket. They ask the agent to copy the files using copy_object.

### Checking file sizes
A developer wants to know the size of a specific model weight file. The agent uses get_object_metadata to provide the exact size.

## Benefits

- Stop navigating the Google Cloud Console by using list_buckets to see everything in your project at once.
- Audit your security posture faster by checking permissions with list_bucket_acl and get_bucket_iam.
- Move files between environments without manual downloads by using the copy_object tool.
- Verify data integrity and storage classes instantly with get_object_metadata and get_bucket_metadata.
- Manage your file lifecycle through natural language by using upload_object and delete_object.
- Get a clear view of your service account keys and identities with list_hmac_keys and get_project_service_account.

## How It Works

The bottom line is you get a conversational interface for managing your cloud storage assets.

1. Subscribe to the Connector and provide your Google Cloud Project ID and OAuth credentials.
2. Complete the secure Google Cloud authorization flow to link your account.
3. Ask your agent to perform actions like listing buckets or checking permissions.

## Frequently Asked Questions

**Can the Google Cloud Storage MCP list all my buckets?**
Yes, it can list every bucket in your project. This helps you get a high-level view of your storage assets without opening the console.

**Can I use Google Cloud Storage MCP to audit my security?**
Yes, it can check bucket ACLs and IAM policies. You can use it to verify who has access to your data and ensure no buckets are publicly exposed.

**Does the Google Cloud Storage MCP work with Claude and Cursor?**
Yes, it works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

**Can I upload files to my buckets using this Connector?**
Yes, you can upload text content directly to your buckets using natural language commands.

**Is my data safe when using the Google Cloud Storage MCP?**
The Connector uses your own Google Cloud credentials and OAuth flow. Your agent acts as an administrator using the permissions you grant it.

**Can I move files between different buckets?**
Yes, you can copy objects between different buckets or within the same bucket using the copy tool.

**Can I upload large files directly through this server?**
The `upload_object` tool is designed for small to medium text-based content. For very large binary files or production datasets, it is recommended to use the gsutil CLI or the Google Cloud Console to ensure optimal transfer speeds and integrity.

**How do I check if a bucket is publicly accessible?**
You can use the `list_bucket_acl` or `get_bucket_iam` tools. The AI agent will retrieve the permissions and can identify if roles like 'allUsers' or 'allAuthenticatedUsers' have been granted access.