Google Cloud Platform

by henihaddad

19 stars

1.4k downloads

Not rated

GitHub

About

Integrates with Google Cloud Platform to enable natural language management of cloud resources including compute, storage, networking, and databases through automated OAuth authentication.

Details

Author: henihaddad
Repository: henihaddad/gcp-mcp
GitHub stars: 19
Downloads: 1,439
Categories: Design, Developer Tools, File Management, Security, Infrastructure, Database, Automation

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name Google Cloud Platform

Command (node, npx, python, etc.) uvx
Arguments
- Argument 1 gcp-mcp
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

From the repository

pip install gcp-mcp

`list_projects`

List all GCP projects associated with the user's account.

`show_compute_instances`

Display all compute instances available in the user's GCP projects.

`list_storage_buckets`

Show all storage buckets available in the user's GCP account.

`create_compute_instance`

Create a compute instance with specified parameters. Parameters: RAM (string), storage (string), name (string).

`create_storage_bucket`

Create a new storage bucket with a specified name and location. Parameters: bucket_name (string), location (string).

`create_vpc_network`

Set up a new VPC network with a specified name and subnet. Parameters: network_name (string), subnet (string).

`stop_compute_instances`

Stop all compute instances in a specified GCP project. Parameters: project_name (string).

`show_long_running_instances`

Display all instances that have been running for more than 24 hours.

`check_cpu_usage`

Get the current CPU usage of a specified instance. Parameters: instance_name (string).

`create_snapshot`

Create a snapshot of a specified database disk. Parameters: disk_name (string).

`set_cpu_alert`

Set up an alert for when CPU usage exceeds a specified threshold. Parameters: threshold (integer).

`show_critical_alerts`

Display all critical alerts from the last 24 hours.

`check_gke_status`

Get the current status of the user's GKE clusters.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "gcp-mcp"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

Linux

{
    "env": [],
    "args": [
        "gcp-mcp"
    ],
    "shell": false,
    "command": "uvx"
}

Macos

{
    "env": [],
    "args": [
        "gcp-mcp"
    ],
    "shell": false,
    "command": "uvx"
}

Windows

{
    "env": [],
    "args": [
        "gcp-mcp"
    ],
    "shell": false,
    "command": "uvx"
}

GCP MCP Application

Claude Desktop Integration

To enable GCP management capabilities in Claude Desktop, simply add the following configuration to your Claude Desktop MCP configuration:

{
  "gcp-mcp": {
    "command": "uvx",
    "args": [
      "gcp-mcp"
    ]
  }
}

That's it! No additional setup or credential manipulation is required. When you first ask Claude to interact with your GCP resources, a browser window will automatically open for you to authenticate and grant access. Once you approve the access, Claude will be able to manage your GCP resources through natural language commands.

Here are some example requests you can make:

Basic Operations:
- "Could you list my GCP projects?"
- "Show me my compute instances"
- "What storage buckets do I have?"

Resource Creation:
- "Please create a compute instance with 2GB RAM and 10GB storage, name it MCP-engine"
- "Create a new storage bucket called my-backup-bucket in us-central1"
- "Set up a new VPC network named prod-network with subnet 10.0.0.0/24"

Resource Management:
- "Stop all compute instances in the dev project"
- "Show me all instances that have been running for more than 24 hours"
- "What's the current CPU usage of my instance named backend-server?"
- "Create a snapshot of my database disk"

Monitoring and Alerts:
- "Set up an alert for when CPU usage goes above 80%"
- "Show me all critical alerts from the last 24 hours"
- "What's the current status of my GKE clusters?"

Features

The application provides comprehensive coverage of GCP services:

Resource Management

- Projects and quotas management - Asset inventory - IAM permissions

Compute & Infrastructure

- Compute Engine instances - Storage buckets and disks - VPC networks and firewall rules - Kubernetes Engine (GKE) clusters

Databases & Storage

- Cloud SQL instances - Firestore databases - Cloud Storage - Database backups

Monitoring & Billing

- Metrics and alerts - Billing information - Uptime monitoring - Resource usage tracking

Coming Soon

- Deployment manager and infrastructure as code

Installation

pip install gcp-mcp

License

MIT License

Your contributions and issues are welcome !

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

About

Details

Jump to

Setting up with Highlight

From the repository

list_projects

show_compute_instances

list_storage_buckets

create_compute_instance

create_storage_bucket

create_vpc_network

stop_compute_instances

show_long_running_instances

check_cpu_usage

create_snapshot

set_cpu_alert

show_critical_alerts

check_gke_status

Claude Desktop / Cursor

Linux

Macos

Windows

GCP MCP Application

Claude Desktop Integration

Features

Resource Management

Compute & Infrastructure

Databases & Storage

Monitoring & Billing

Coming Soon

Installation

License

Install

More like this

Sentry

Github

Git

GitLab

Context 7

Playwright

`list_projects`

`show_compute_instances`

`list_storage_buckets`

`create_compute_instance`

`create_storage_bucket`

`create_vpc_network`

`stop_compute_instances`

`show_long_running_instances`

`check_cpu_usage`

`create_snapshot`

`set_cpu_alert`

`show_critical_alerts`

`check_gke_status`