Google Cloud Platform

by eniayomi

170 3k downloads Not rated yet MIT

GitHub

About

Integrates with Google Cloud Platform services, providing tools for interacting with Compute Engine, Cloud Storage, Cloud Functions, Cloud Run, BigQuery, and more using official client libraries and robust error handling.

Details

Repository: eniayomi/gcp-mcp
License: MIT

Explore

🔍 Query and modify GCP resources using natural language
☁️ Support for multiple GCP projects
🌐 Multi-region support
🔐 Secure credential handling (no credentials are exposed to external services)
🏃‍♂️ Local execution with your GCP credentials
🔄 Automatic retries for improved reliability

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.) npx
Arguments
- Argument 1 -y
- Argument 2 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": [
                "-y",
                "gcp-mcp"
            ],
            "shell": true,
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "gcp-mcp"
            ],
            "shell": false,
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "-y",
                "gcp-mcp"
            ],
            "shell": true,
            "command": "npx"
        }
    }
}

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": [
                "-y",
                "gcp-mcp"
            ],
            "shell": true,
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "gcp-mcp"
            ],
            "shell": false,
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "-y",
                "gcp-mcp"
            ],
            "shell": true,
            "command": "npx"
        }
    }
}

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": [
                "-y",
                "gcp-mcp"
            ],
            "shell": true,
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "gcp-mcp"
            ],
            "shell": false,
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "-y",
                "gcp-mcp"
            ],
            "shell": true,
            "command": "npx"
        }
    }
}

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": [
                "-y",
                "gcp-mcp"
            ],
            "shell": true,
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "gcp-mcp"
            ],
            "shell": false,
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "-y",
                "gcp-mcp"
            ],
            "shell": true,
            "command": "npx"
        }
    }
}

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": [
                "-y",
                "gcp-mcp"
            ],
            "shell": true,
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "gcp-mcp"
            ],
            "shell": false,
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "-y",
                "gcp-mcp"
            ],
            "shell": true,
            "command": "npx"
        }
    }
}

From the repository

Node.js
Claude Desktop/Cursor/Windsurf

GCP credentials configured locally (application default credentials)

1. Set up GCP credentials:
- Set up application default credentials using gcloud auth application-default login

2. Refresh your AI assistant (Claude Desktop/Cursor/Windsurf)

`run-gcp-code`

Execute GCP API calls using TypeScript code.

`list-projects`

List all accessible GCP projects.

`select-project`

Select a GCP project for subsequent operations.

`get-billing-info`

Get billing information for the current project.

`get-cost-forecast`

Get cost forecast for the current project.

`get-billing-budget`

Get billing budgets for the current project.

`list-gke-clusters`

List all GKE clusters in the current project.

`list-sql-instances`

List all Cloud SQL instances in the current project.

`get-logs`

Get Cloud Logging entries for the current project.

1. run-gcp-code: Execute GCP API calls using TypeScript code
2. list-projects: List all accessible GCP projects
3. select-project: Select a GCP project for subsequent operations
4. get-billing-info: Get billing information for the current project
5. get-cost-forecast: Get cost forecast for the current project
6. get-billing-budget: Get billing budgets for the current project
7. list-gke-clusters: List all GKE clusters in the current project
8. list-sql-instances: List all Cloud SQL instances in the current project
9. get-logs: Get Cloud Logging entries for the current project

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "google cloud platform": {
            "env": {},
            "args": [
                "-y",
                "gcp-mcp"
            ],
            "shell": true,
            "command": "npx"
        }
    }
}

Linux

{
    "env": [],
    "args": [
        "-y",
        "gcp-mcp"
    ],
    "shell": true,
    "command": "npx"
}

Macos

{
    "env": [],
    "args": [
        "-y",
        "gcp-mcp"
    ],
    "shell": true,
    "command": "npx"
}

Windows

{
    "env": [],
    "args": [
        "/c",
        "npx",
        "-y",
        "gcp-mcp"
    ],
    "shell": false,
    "command": "cmd"
}

GCP MCP

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Google Cloud Platform environment. This allows for natural language querying and management of your GCP resources during conversations.

GCP MCP Demo

Features

Prerequisites

Node.js
Claude Desktop/Cursor/Windsurf
GCP credentials configured locally (application default credentials)

Installation

1. Clone the repository:

git clone https://github.com/eniayomi/gcp-mcp cd gcp-mcp

2. Install dependencies:

npm install

Configuration

Claude Desktop

1. Open Claude desktop app and go to Settings -> Developer -> Edit Config

2. Add the following entry to your claude_desktop_config.json:

via npm:

{ "mcpServers": { "gcp": { "command": "sh", "args": ["-c", "npx -y gcp-mcp"] } } }

If you installed from source:

{ "mcpServers": { "gcp": { "command": "npm", "args": [ "--silent", "--prefix", "/path/to/gcp-mcp", "start" ] } } }

Replace /path/to/gcp-mcp with the actual path to your project directory if using source installation.

Cursor

1. Open Cursor and go to Settings (⌘,)
2. Navigate to AI -> Model Context Protocol
3. Add a new MCP configuration:

{ "gcp": { "command": "npx -y gcp-mcp" } }

Windsurf

1. Open ~/.windsurf/config.json (create if it doesn't exist)
2. Add the MCP configuration:

{ "mcpServers": { "gcp": { "command": "npx -y gcp-mcp" } } }

GCP Setup

1. Set up GCP credentials:
- Set up application default credentials using gcloud auth application-default login

2. Refresh your AI assistant (Claude Desktop/Cursor/Windsurf)

Usage

Start by selecting a project or asking questions like:
"List all GCP projects I have access to"
"Show me all Cloud SQL instances in project X"
"What's my current billing status?"
"Show me the logs from my Cloud Run services"
"List all GKE clusters in us-central1"
"Show me all Cloud Storage buckets in project X"
"What Cloud Functions are deployed in us-central1?"
"List all Cloud Run services"
"Show me BigQuery datasets and tables"

Available Tools

Example Interactions

1. List available projects:

List all GCP projects I have access to

2. Select a project:

Use project my-project-id

3. Check billing status:

What's my current billing status?

4. View logs:

Show me the last 10 log entries from my project

Supported Services

Google Compute Engine
Cloud Storage
Cloud Functions
Cloud Run
BigQuery
Cloud SQL
Google Kubernetes Engine (GKE)
Cloud Logging
Cloud Billing
Resource Manager

More coming soon...

Troubleshooting

To see logs:

tail -n 50 -f ~/Library/Logs/Claude/mcp-server-gcp.log

Common issues:
1. Authentication errors: Ensure you've run gcloud auth application-default login
2. Permission errors: Check IAM roles for your account
3. API errors: Verify that required APIs are enabled in your project

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT 29:["$","div",null,{"classN

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About

Details

Explore

Setting up with Highlight

From the repository

run-gcp-code

list-projects

select-project

get-billing-info

get-cost-forecast

get-billing-budget

list-gke-clusters

list-sql-instances

get-logs

Claude Desktop / Cursor

Linux

Macos

Windows

GCP MCP

Features

Prerequisites

Installation

Configuration

Claude Desktop

Cursor

Windsurf

GCP Setup

Usage

Available Tools

Example Interactions

Supported Services

Troubleshooting

Contributing

License

Videos about Google Cloud Platform

How to build an AI Agent and MCP Server (step-by-step)

[AI PoC]MCP AI /GCP VM / (Claude AI +GCP MCP Server)

Connecting ADK Agents to MCP Servers

More like this

Time

Sentry

Github

Git

`run-gcp-code`

`list-projects`

`select-project`

`get-billing-info`

`get-cost-forecast`

`get-billing-budget`

`list-gke-clusters`

`list-sql-instances`

`get-logs`