Connects Model Context Protocol (MCP) clients to Gemini Cloud Assist APIs, enabling natural language management and troubleshooting of Google Cloud environments.
Sponsored
This server acts as a crucial bridge, linking MCP clients like the Gemini CLI to the powerful Gemini Cloud Assist APIs. It empowers users to interact with their Google Cloud environment using natural language, directly from their local command line. This allows for intuitive understanding, management, and troubleshooting of GCP resources, streamlining complex operations and investigations.
Key Features
01Create and run investigations to diagnose complex issues
02Iterate on investigations by adding observations to refine analysis
03Quickly find and analyze Google Cloud resources
04Interact with GCP using natural language queries
05Integrates with various MCP clients like Gemini CLI, Cursor, and Claude
064 GitHub stars
Use Cases
01Investigating pending pod issues in a GKE cluster
02Obtaining overviews and detailed information about GCP resources via natural language
03Diagnosing and resolving ephemeral storage exhaustion in GKE nodes