Google Cloud Storage Connector for AI agents.
12 live capabilities
Manage cloud buckets and files using natural language commands.
Waiting for input…
Why people use Google Cloud Storage
Google Cloud Storage for Cloud Infrastructure Audit
With this Connector, you can just ask your agent to identify which buckets have specific permissions. It handles the queries and gives you a clear summary, turning a 20-minute audit into a 20-second conversation.
What Vinkius changes
You get a conversational interface for managing your cloud storage assets.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Verifying production logs
A cloud engineer asks the agent to find the logs from last night in the staging bucket.
- Real-world use case 02
Security permission audit
A security team member asks if any buckets are public.
- Real-world use case 03
Moving datasets between buckets
A data scientist needs to move a large dataset to an archive bucket.
Complete set · 12capabilities
The complete Google Cloud Storage capability set.
These are the exact actions your AI can choose when you ask it to work with Google Cloud Storage.
01—04
4 capabilities in this set.
Part of 12 available through Google Cloud Storage.
- 01 Capability
Copy object
Copy a file between different buckets or within the same bucket. This is useful for moving data between environments.
- 02 Capability
Delete object
Remove a specific file from a bucket. Use this to clean up old logs or temporary files.
- 03 Capability
Get bucket iam
Retrieve the IAM policy for a specific bucket. This helps you see exactly who has access to your data.
- 04 Capability
Get bucket metadata
Get details like location and storage class for a bucket. Use this to check your storage costs and settings.
05—08
4 capabilities in this set.
Part of 12 available through Google Cloud Storage.
- 05 Capability
Get object metadata
See the size and metadata for a specific file. This is perfect for verifying file integrity.
- 06 Capability
Get project service account
Check the storage service account for your project. Use this to verify service identities.
- 07 Capability
List bucket acl
View the access control list for a bucket. This lets you see permissions at a glance.
- 08 Capability
List buckets
List every bucket currently in your project. Use this to get a high level view of your storage.
09—12
4 capabilities in this set.
Part of 12 available through Google Cloud Storage.
- 09 Capability
List hmac keys
See the HMAC keys for a specific service account. This helps with legacy or cross-cloud integrations.
- 10 Capability
List object acl
Check the permissions for a single object. Use this to verify granular access controls.
- 11 Capability
List objects
Browse all files inside a bucket, including those in folders. This helps you find specific data quickly.
- 12 Capability
Upload object
Upload a new file or text content to a bucket. Use this to put data into storage via your agent.
Set up in minutes
One URL. Then ask Google Cloud Storage to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Google Cloud Storage from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_HZ0fp8h3qE7JPzT1zEcEb6LOl8tyB00DqcCfsN2D/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Google Cloud Storage, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Google Cloud Storage for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_HZ0fp8h3qE7JPzT1zEcEb6LOl8tyB00DqcCfsN2D/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Google Cloud Storage URL.
- Step 03
Save and start
Save the connection and enable Google Cloud Storage in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"google-cloud-storage": {
"url": "https://edge.vinkius.com/vk_preview_HZ0fp8h3qE7JPzT1zEcEb6LOl8tyB00DqcCfsN2D/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Google Cloud Storage
Open Agent mode in chat and ask: "Using Google Cloud Storage, help me...". 12 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"google-cloud-storage": {
"url": "https://edge.vinkius.com/vk_preview_HZ0fp8h3qE7JPzT1zEcEb6LOl8tyB00DqcCfsN2D/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Google Cloud Storage
Ask Copilot: "Using Google Cloud Storage, help me...". 12 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"google-cloud-storage": {
"url": "https://edge.vinkius.com/vk_preview_HZ0fp8h3qE7JPzT1zEcEb6LOl8tyB00DqcCfsN2D/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Google Cloud Storage
Open Cascade and ask: "Using Google Cloud Storage, help me...". 12 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"google-cloud-storage": {
"url": "https://edge.vinkius.com/vk_preview_HZ0fp8h3qE7JPzT1zEcEb6LOl8tyB00DqcCfsN2D/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Google Cloud Storage
Ask Cline: "Using Google Cloud Storage, help me...". 12 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add google-cloud-storage --transport http "https://edge.vinkius.com/vk_preview_HZ0fp8h3qE7JPzT1zEcEb6LOl8tyB00DqcCfsN2D/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Google Cloud Storage
Ask Claude: "Using Google Cloud Storage, show me...". 12 tools are ready
Where the request belongs
Work Google Cloud Storage can move forward.
This is for the cloud engineer who is tired of clicking through nested dashboards at 2am or the data scientist who needs to verify dataset sizes without leaving their IDE.
Cloud Engineer
Uses the Connector to quickly verify if build artifacts exist or to check bucket permissions during a production rollout.
Data Scientist
Browses large datasets and checks modification dates or file sizes using natural language queries.
Security Analyst
Audits bucket ACLs and IAM policies to ensure no sensitive data is exposed to the public internet.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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China's leading object storage service. manage files, buckets, and metadata via AI.
Qiniu Cloud
Orchestrate Qiniu Cloud storage. manage buckets, handle file uploads, and monitor CDN performance directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Google Cloud Storage connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Google Cloud Storage.
The practical details behind the request, access and result.
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 capability.
Can I upload large files directly through this server?
The upload_object capability 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 capabilities. The AI agent will retrieve the permissions and can identify if roles like 'allUsers' or 'allAuthenticatedUsers' have been granted access.
One connection away
Give your agent a direct line to Google Cloud Storage.
Connect Google Cloud Storage once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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