Google Cloud MCP
Interact with Google Cloud services and manage your cloud resources.
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Overview
The gcloud Model Context Protocol (MCP) server enables AI assistants to easily interact with the Google Cloud environment using the gcloud CLI. With the gcloud MCP server you can: - Interact with Google Cloud using natural language. Describe the outcome you want instead of memorizing complex command syntax, flags, and arguments. - Automate and simplify complex workflows. Chain multiple cloud operations into a single, repeatable command to reduce manual effort and the chance of error. - Lower the barrier to entry for cloud management. Empower team members who are less familiar with gcloud to perform powerful actions confidently and safely.
Installation
npx @google-cloud/[PACKAGE_NAME] init --agent=gemini-cli
Configuration
Configuration example is not available yet.
Capabilities
- Run gcloud CLI commands
Ask your AI to execute any allowed `gcloud` command via `run_gcloud_command` to manage Google Cloud resources.
- Query Cloud Observability data
Retrieve logs, metrics, traces, and alert policies using tools like `list_log_entries`, `list_time_series`, and `list_traces`.
- Manage Cloud Storage buckets and objects
List, create, delete, copy, move, upload, or download objects and buckets with `storage-mcp` tools.
- Inspect Storage Insights
Check insights configurations and run BigQuery queries against Storage Insights datasets with `execute_insights_query`.
- Orchestrate Backup and DR operations
Create backup vaults and plans, associate resources, list backups, and trigger restores using `backupdr-mcp` tools.
Tags
- cloud-infrastructure
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