cloud.google.com
MCP Servers for AI Agent Integration
Google BigQuery MCP
Query datasets, manage tables, and run analytics jobs
Run SQL queries against BigQuery datasets, manage tables and views, and schedule analytics jobs. Access query results, manage dataset permissions, and explore schema metadata.
https://bigquery.googleapis.com/mcpGoogle Compute Engine MCP
Manage VMs, networks, and compute resources
Create and manage virtual machine instances, configure networking and firewalls, and manage persistent disks. Monitor instance status, access serial port output, and manage instance groups.
https://compute.googleapis.com/mcpGoogle GKE MCP
Manage Kubernetes clusters, workloads, and deployments
Create and manage GKE clusters, deploy workloads, and configure node pools. Monitor cluster health, manage Kubernetes resources, and handle cluster upgrades and scaling.
https://container.googleapis.com/mcpGoogle Maps MCP
Geocoding, directions, places, and mapping APIs
Geocode addresses, calculate routes and travel times, and search for places and businesses. Access place details, photos, and reviews through Google Maps Platform APIs.
https://mapstools.googleapis.com/mcpGoogle Cloud Resource Manager MCP
Manage projects, folders, and organizational resources
Create and manage Google Cloud projects, folders, and organizational hierarchies. Set IAM policies, manage billing accounts, and organize resources across your cloud organization.
https://cloudresourcemanager.googleapis.com/mcpGoogle Developer Knowledge MCP
Search Google Cloud documentation and best practices
Search across Google Cloud documentation, tutorials, and architectural best practices. Access service-specific guides and troubleshooting resources.
https://developerknowledge.googleapis.com/mcpWhat is MCP?
The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data sources. Remote MCP servers allow AI agents to interact with services like cloud.google.com through a standardized interface.