# Google Cloud Storage Bucket MCP

> Google Cloud Storage Bucket MCP gives your agent surgical access: it lets your AI client read, write, list, and delete files inside one specific Google Cloud bucket. This isn't general cloud access; it’s a secure sandbox for data persistence, allowing your agent to manage work assets, store generated reports, or analyze documents without touching your wider cloud infrastructure.

## Overview
- **Category:** industry-titans
- **Price:** Free
- **Tags:** object-storage, file-management, data-persistence, cloud-storage, storage-buckets

## Description

Your AI client needs a place to keep things—a temporary hard drive that doesn't mess with the rest of your production setup. This MCP provides exactly that: highly contained access to one specific Google Cloud Storage Bucket. By limiting permissions so strictly, you give your agent an isolated area where it can safely store data and process information. It’s perfect for agents running complex jobs or managing large document sets. Instead of giving the AI keys to your entire cloud account, this MCP gives it a digital filing cabinet with one lock on it.

Your agent can now upload new configurations, retrieve historical reports, read raw source files, and even delete temporary assets when they're done. This containment is huge. It means you get the power of scalable object storage without introducing global security risk to your core systems. You connect this MCP through Vinkius, treating it just like any other specialized tool in our catalog.

## Tools

### delete_object
Removes a specific file object from the Google Cloud Storage bucket.

### get_object
Reads and retrieves the content of a specified file within the cloud storage bucket.

### list_objects
Retrieves a list of all files stored in the configured Google Cloud Storage bucket.

### put_object
Uploads data to the cloud storage, creating a new object or overwriting an existing one.

## Prompt Examples

**Prompt:** 
```
List all files inside the 'data/exports/' folder.
```

**Response:** 
```
I found 3 files with the prefix 'data/exports/': export-1.csv, export-2.csv, and summary.json.
```

**Prompt:** 
```
Upload this JSON configuration to 'configs/agent-settings.json'.
```

**Response:** 
```
I've successfully uploaded the JSON data to 'configs/agent-settings.json' with `content-type: application/json`.
```

**Prompt:** 
```
Delete the temporary 'processing/job-123.tmp' file.
```

**Response:** 
```
The file 'processing/job-123.tmp' was successfully deleted from the Google Cloud Storage bucket.
```

## Capabilities

### List existing files
The agent can list all the file names and paths within the configured cloud bucket.

### Read file content
You instruct the agent to read a specific object, returning its full text or binary contents.

### Upload or overwrite files
The agent can upload new data or replace existing objects within the bucket.

### Delete assets
You ask the agent to permanently remove a specified file from the cloud storage bucket.

## Use Cases

### Archiving Model Outputs
A data scientist runs an intensive simulation. Instead of emailing hundreds of CSVs, they prompt their agent to `put_object` all the results into the bucket. Later, the agent can use `list_objects` and `get_object` to gather a comprehensive report for review.

### Processing User Uploads
A web application allows users to upload documents. The system uses the MCP to receive the file via `put_object`. An agent then reads the contents using `get_object` to extract key data points before saving the processed summary.

### Cleaning Up Temporary Jobs
A batch processing job finishes and leaves behind large temporary files. The engineer instructs the agent to use `delete_object` on all known temp paths, ensuring no junk data remains in the bucket.

## Benefits

- Absolute Security: Because the agent is locked to one bucket, you prevent it from listing or touching other critical company data outside of this dedicated area. You control exactly what it sees.
- Data Persistence: Need your AI client to remember something? Use `put_object` to upload generated assets, reports, and configuration files for later retrieval by the agent itself.
- Content Analysis: If you need your agent to analyze a raw data file, use `get_object` to read its contents directly into the prompt context without manual downloads or uploads.
- Workflow Cleanup: Use `delete_object` to automatically clear out temporary files (like job logs or cached exports) once they are no longer needed. This keeps your storage tidy.
- Visibility: The `list_objects` tool gives you a quick, programmatic inventory of all the current assets in the bucket, perfect for auditing purposes.

## How It Works

The bottom line is you get secure, focused access to cloud storage without exposing your agent to dangerous global permissions.

1. First, you connect your AI client through Vinkius and point it to this MCP. You define exactly which Google Cloud Storage Bucket the agent is allowed to touch.
2. Next, you tell your agent what needs doing—for example, 'List all CSV files in the data/exports folder.' The agent then executes the necessary tool call against the scoped bucket.
3. Finally, the system returns a clean list of file names or the requested content. You use that information to continue your workflow.

## Frequently Asked Questions

**Can I use Google Cloud Storage Bucket MCP to access multiple buckets?**
No. This MCP is intentionally scoped and only grants access to a single, specific bucket. It cannot list or interact with any other storage locations in your cloud account.

**How do I upload data using Google Cloud Storage Bucket MCP?**
You use the `put_object` tool. This allows you to either create a brand new file object or overwrite an existing one with updated content.

**Is deleting objects safe? What does delete_object do?**
The `delete_object` tool permanently removes the specified file from the bucket. This is useful for cleaning up temporary files once their job is done.

**Does Google Cloud Storage Bucket MCP only work with text files?**
No. The MCP handles general objects, meaning you can read and write various types of data, including JSON, CSV, images, or other binary formats.