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enesbol/gcp-mcp

enesbol/gcp-mcp

@enesbol

A comprehensive Model Context Protocol (MCP) server implementation for Google Cloud Platform (GCP) services, enabling AI assistants to interact with and manage GCP resources through a standardized interface.

gcpgoogle-cloudmcp-servercloud-servicesai-assistantinfrastructuregcp-resourcescloud

Installation & Configuration

{
  "GCP Cloud Tools": {
    "command": "uv",
    "args": [
      "run",
      "--with",
      "google-cloud-artifact-registry>=1.10.0",
      "--with",
      "google-cloud-bigquery>=3.27.0",
      "--with",
      "google-cloud-build>=3.0.0",
      "--with",
      "google-cloud-compute>=1.0.0",
      "--with",
      "google-cloud-logging>=3.5.0",
      "--with",
      "google-cloud-monitoring>=2.0.0",
      "--with",
      "google-cloud-run>=0.9.0",
      "--with",
      "google-cloud-storage>=2.10.0",
      "--with",
      "mcp[cli]",
      "--with",
      "python-dotenv>=1.0.0",
      "mcp",
      "run",
      "main.py"
    ],
    "env": {
      "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/service-account.json",
      "GCP_PROJECT_ID": "your-project-id",
      "GCP_LOCATION": "us-central1"
    }
  }
}

Information

Transport
stdio
Language
Python
Created
2026/6/14
Updated
2026/6/15