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Google Cloud Official MCP Server

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Google Cloud Platform services and tools

What is Google Cloud?

Google Cloud is a cloud infrastructure and hosting platform that google cloud comprehensive platform services and tools. The official Google Cloud MCP server enables AI agents to seamlessly interact with Google Cloud's platform, allowing developers to leverage AI capabilities within their existing workflows and automate complex tasks that would otherwise require manual intervention.

This official MCP server is maintained and verified by Google Cloud, ensuring reliability, security, and up-to-date functionality. Unlike community-maintained servers, this official integration provides long-term support, comprehensive documentation, and direct vendor assistance. The server is hosted on cloud.google.com, guaranteeing secure and reliable access to Google Cloud's services.

Whether you're building AI-powered applications, automating workflows, or enhancing your development tools, the Google Cloud MCP server provides a standardized way to connect AI agents with Google Cloud's extensive platform capabilities. This integration enables natural language interactions with Google Cloud, making it easier than ever to leverage Google Cloud's features through AI assistants like Claude, ChatGPT, and Cursor.

Installation Instructions

Installation Instructions
Add Google Cloud to your MCP-compatible client
https://cloud.googleapis.com/mcp
Cursor logoCursor Instructions
1

Go to Settings → Cursor Settings

2

Click "Add new global MCP Server"

3

Paste the MCP configuration into mcp.json and restart

Install with Cursor

Or manually add to your mcp.json:

{ "mcpServers": { "google-cloud": { "url": "https://cloud.googleapis.com/mcp" } } }

Google Cloud MCP Server Capabilities

The official Google Cloud MCP server enables AI agents to:

  • Manage cloud infrastructure and resources through AI commands
  • Deploy applications and services to cloud platforms
  • Monitor cloud resources and performance metrics
  • Automate scaling and resource allocation
  • Access cloud APIs and services programmatically

These capabilities make it easy for AI agents to work with Google Cloud as part of a larger automation strategy, enabling seamless integration between AI assistants and your existing tools.

Available Tools

The Google Cloud MCP server provides 5 tools for AI agents to interact with the platform. Use the search below to find specific tools.

Tool NameDescription
bigquery_queryQuery and manage BigQuery datasets and tables (BigQuery MCP server)
compute_manageManage Compute Engine VMs and resources (Compute Engine MCP server)
gke_manageManage Google Kubernetes Engine clusters and workloads (GKE MCP server)
maps_groundingUse Maps Grounding Lite for location-aware queries (Maps MCP server)
security_operationsAccess Google Security Operations (Chronicle) for security analytics (Chronicle MCP server)

Last updated: January 29, 2026 at 12:00 PM

Common Use Cases

Automated Workflow Management

AI agents can use the Google Cloud MCP server to automate repetitive tasks and manage workflows within Google Cloud's platform.

Data Retrieval and Analysis

The MCP server allows AI agents to query and retrieve data from Google Cloud, enabling intelligent data analysis and insights.

Integration with Development Tools

Developers can integrate Google Cloud capabilities directly into their AI coding assistants for seamless workflows.

Frequently Asked Questions

How do I get a Google Cloud API key?

Visit https://cloud.google.com, create an account, and generate an API key from your dashboard. Most tools offer a free tier to get started, making it easy to begin using the Google Cloud MCP server.

Is this the official Google Cloud MCP server?

Yes, this MCP server is officially provided and maintained by Google Cloud. The endpoint https://cloud.googleapis.com/mcp is hosted on their official domain cloud.google.com, ensuring reliability and security.

What permissions does Google Cloud MCP need?

The Google Cloud MCP server requires appropriate API credentials and permissions based on the operations you want to perform. Check the documentation for specific permission requirements.

Can I use Google Cloud MCP with multiple clients?

Yes, you can configure the same MCP server across Cursor, Claude Desktop, Cline, and other MCP-compatible clients simultaneously. Each client maintains its own configuration.

Is Google Cloud MCP server free?

The MCP server itself is free to use, but you may need a Google Cloud account and API access, which may have its own pricing tiers. Check https://cloud.google.com for current pricing information.

What can Google Cloud MCP server do?

The Google Cloud MCP server enables AI agents to manage cloud infrastructure and deployments. Google Cloud Platform services and tools This allows you to interact with Google Cloud's platform through natural language commands in your AI assistant.

Troubleshooting

Connection Failed

Ensure your API key is correctly configured and your network allows outbound connections to cloud.google.com. Verify that the MCP endpoint URL https://cloud.googleapis.com/mcp is accessible from your network.

Authentication Error

Verify your API key is valid and has not expired. Generate a new key from https://cloud.google.com if needed. Make sure you're using the correct authentication method as specified in the documentation.

Server Not Responding

Check Google Cloud's status page for any ongoing incidents. Try restarting your MCP client and verify that the server endpoint is correct. If issues persist, consult the official documentation or support channels.

Related MCP Servers

Explore other official MCP servers that work well with Google Cloud:

Query audit logs and generate reports for review
Debug and get insight into your application's logs and analytics
Google Kubernetes Engine Developer Tools

About Model Context Protocol

The Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to external APIs, tools, and data sources. This official MCP server from Google Cloud provides standardized access to their services, allowing AI agents to interact with Google Cloud's platform seamlessly.

To manage all your MCP servers in one place, use Apigene's MCP Gateway, which provides centralized management, security, and governance for all your MCP server connections.

Learn more about MCP in our complete guide or browse our FAQ for common questions.

Server Information

Domain

cloud.google.com

MCP Endpoint

https://cloud.googleapis.com/mcp