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.

Features

🔍 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

Prerequisites

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

Installation

Clone the repository:

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

Install dependencies:

npm install

Build the project:

npm run build

Configuration

Amazon Q CLI

Add the following configuration to your Q CLI MCP settings:

{
  "mcpServers": {
    "gcp-mcp": {
      "command": "node",
      "args": ["/path/to/gcp-ops-mcp/bin.js"],
      "env": {
        "NODE_PATH": "/path/to/gcp-ops-mcp/node_modules"
      }
    }
  }
}

Replace /path/to/gcp-ops-mcp with the actual path to your project directory.

Claude Desktop

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

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

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

Windsurf

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

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

GCP Setup

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

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

Example Interactions

List available projects:

List all GCP projects I have access to

Select a project:

Use project my-project-id

Check billing status:

What's my current billing status?

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:

Authentication errors: Ensure you've run gcloud auth application-default login
Permission errors: Check IAM roles for your account
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