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eniayomi

gcp-mcp

by: eniayomi

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.

48created 05/03/2025
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📌Overview

Purpose: To facilitate seamless interaction between AI assistants and Google Cloud Platform (GCP) resources through natural language commands.

Overview: The Model Context Protocol (MCP) server allows AI assistants like Claude to perform real-time querying and management of GCP environments. This integration provides users the ability to manage cloud resources intuitively during conversations.

Key Features:

  • Natural Language Queries: Users can query and modify GCP resources simply using natural language.

  • Multi-Project and Multi-Region Support: The system accommodates multiple GCP projects and regions, enhancing flexibility and scalability.

  • Secure Credential Handling: Credentials are securely managed without exposure to external services, ensuring data safety.

  • Local Execution: The framework operates locally with user-specific GCP credentials, maintaining privacy and security.

  • Automatic Retry Mechanism: Automatic retries improve operational reliability during API calls.

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
  • 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
  1. 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 installed from source:

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

Replace /path/to/gcp-mcp with your project directory path 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:

    • Use gcloud auth application-default login to set up application default credentials

  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

  • 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

  1. List available projects:
List all GCP projects I have access to
  1. Select a project:
Use project my-project-id
  1. Check billing status:
What's my current billing status?
  1. 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

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