Manage Google Cloud Storage buckets and objects via AI…

This template enables AI agents to fully manage Google Cloud Storage resources through an MCP server, performing bucket and object operations without manual intervention. Designed for integration into agent-based systems requiring programmatic access to cloud storage.

## Who it´s for
- Developers building AI agents with cloud storage access
- Automation engineers using n8n and MCP for integrations
- System administrators managing GCP resources via APIs

## What the automation does
- Creates, deletes, and lists buckets in a Google Cloud project
- Uploads, retrieves, and deletes objects within specified buckets
- Updates metadata for buckets and objects
- Responds to calls from AI tools via the MCP server
- Provides secure API access to GCS through n8n

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic based on MCP server
- Integrations with Google Cloud Storage API
- Basic text instructions for setup and adaptation

## Requirements for setup
- Google Cloud account with Storage admin permissions
- Configured MCP server connected to n8n
- Service account API credentials
- Running n8n instance

## Benefits and outcomes
- Automate data storage management via AI
- Reduce manual effort in handling buckets and files
- Flexible integration with agent architectures
- Centralized access control via MCP
- Scalability through standard protocols

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.