Google Cloud Official MCP Server
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Google Cloud Platform services and tools
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.
The official Google Cloud MCP server enables AI agents to:
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.
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 Name | Description |
|---|---|
bigquery_query | Query and manage BigQuery datasets and tables (BigQuery MCP server) |
compute_manage | Manage Compute Engine VMs and resources (Compute Engine MCP server) |
gke_manage | Manage Google Kubernetes Engine clusters and workloads (GKE MCP server) |
maps_grounding | Use Maps Grounding Lite for location-aware queries (Maps MCP server) |
security_operations | Access Google Security Operations (Chronicle) for security analytics (Chronicle MCP server) |
Last updated: January 29, 2026 at 12:00 PM
AI agents can use the Google Cloud MCP server to automate repetitive tasks and manage workflows within Google Cloud's platform.
The MCP server allows AI agents to query and retrieve data from Google Cloud, enabling intelligent data analysis and insights.
Developers can integrate Google Cloud capabilities directly into their AI coding assistants for seamless workflows.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Explore other official MCP servers that work well with Google Cloud:
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.