Sponsored by Deepsite.site

Google Cloud MCP Server

Created By
krzko9 months ago
🤖 A Model Context Protocol (MCP) server for Google Cloud
Content

Google Cloud MCP Server

A Model Context Protocol server that connects to Google Cloud services to provide context and tools for interacting with your Google Cloud resources.

Services

Supported services:

  • Google Cloud Logging
  • Google Cloud Monitoring
  • Google Cloud Spanner

Servers in development:

  • Google Cloud Trace
  • Google IAM
  • Google Cloud Compute
  • Google Cloud Run
  • Google Cloud Storage

Google Cloud Logging

Query and filter log entries from Google Cloud Logging:

  • Query logs with custom filters
  • Search logs within specific time ranges
  • Format and display log entries in a readable format

Google Cloud Spanner

Interact with Google Cloud Spanner databases:

  • Execute SQL queries against Spanner databases
  • List available databases and tables
  • Explore database schema

Google Cloud Monitoring

Retrieve and analyse metrics from Google Cloud Monitoring:

  • Query metrics with custom filters
  • Visualise metric data over time
  • List available metric types

Google Cloud Trace

Analyse distributed traces from Google Cloud Trace:

  • Retrieve traces by ID
  • List recent traces with filtering options
  • Find traces associated with logs
  • Identify failed traces
  • Use natural language to query traces (e.g., "Show me failed traces from the last hour")

Authentication

This server supports two methods of authentication with Google Cloud:

  1. Service Account Key File (Recommended): Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of your service account key file. This is the standard Google Cloud authentication method.

  2. Environment Variables: Set GOOGLE_CLIENT_EMAIL and GOOGLE_PRIVATE_KEY environment variables directly. This is useful for environments where storing a key file is not practical.

The server will also use the GOOGLE_CLOUD_PROJECT environment variable if set, otherwise it will attempt to determine the project ID from the authentication credentials.

Installation

# Clone the repository
git clone https://github.com/krzko/google-cloud-mcp.git
cd google-cloud-mcp

# Install dependencies
pnpm install

# Build
pnpm build

Authenticate to Google Cloud:

gcloud auth application-default login

Configure the mcpServers in your client:

{
  "mcpServers": {
      "google-cloud-mcp": {
          "command": "node",
          "args": [
              "/Users/foo/code/google-cloud-mcp/dist/index.js"
          ],
          "env": {
              "GOOGLE_APPLICATION_CREDENTIALS": "/Users/foo/.config/gcloud/application_default_credentials.json"
          }
      }
  }
}

Development

Starting the server

# Build the project
pnpm build

# Start the server
pnpm start

Development mode

# Build the project
pnpm build

# Start the server and inspector
npx -y @modelcontextprotocol/inspector node dist/index.js

Using with Smithery (soon)

This server can be deployed and used with Smithery. The server implements lazy loading of authentication, which means it will start immediately and defer authentication until it's actually needed. Authentication is still required for operation, but this approach prevents timeouts during server initialization.

NOTE: Smithery local server support is currently in development and may not yet available.

Troubleshooting

Server Timeout Issues

If you encounter timeout issues when running the server with Smithery, try the following:

  1. Enable debug logging by setting debug: true in your configuration
  2. Ensure lazyAuth: true is set to defer authentication until it's actually needed
  3. Ensure your credentials file is accessible and valid
  4. Check the logs for any error messages

Important: Authentication is still required for operation, but with lazy loading enabled, the server will start immediately and authenticate when needed rather than during initialization.

Authentication Issues

The server supports two methods of authentication:

  1. Service Account Key File: Set GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of your service account key file
  2. Environment Variables: Set GOOGLE_CLIENT_EMAIL and GOOGLE_PRIVATE_KEY environment variables

If you're having authentication issues, make sure:

  • Your service account has the necessary permissions
  • The key file is properly formatted and accessible
  • Environment variables are correctly set
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
ChatWiseThe second fastest AI chatbot™
Playwright McpPlaywright MCP server
Serper MCP ServerA Serper MCP Server
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
CursorThe AI Code Editor
Amap Maps高德地图官方 MCP Server
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
WindsurfThe new purpose-built IDE to harness magic
Tavily Mcp
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
DeepChatYour AI Partner on Desktop
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.