Google Cloud MCP Server connects AI assistants to Google Cloud services, providing context and tools for interacting with Google Cloud resources. Built by Kristof Kowalski, it currently supports Google Cloud Logging for querying and filtering log entries, Cloud Spanner for executing SQL queries and exploring database schemas, and Cloud Monitoring for retrieving and analyzing metrics. The server authenticates with Google Cloud using either a service account key file or environment variables, and includes lazy authentication loading to prevent timeouts during initialization. It's designed for deployment with Smithery and is ideal for workflows requiring direct access to Google Cloud resources within AI conversations.
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List all billing accounts associated with the Google Cloud project.
Retrieve details for a specific billing account.
List all projects associated with a billing account.
Get billing information for a specific project.
List all services available for billing in the Google Cloud project.
List all SKUs (Stock Keeping Units) for billing services.
Analyse costs for a specific project over a defined time period.
Detect billing anomalies in a specific project.
Generate cost recommendations for a specified billing account.
Break down billing costs by service for a specified account.
List error groups for a specified project.
Get details for a specific error group.
Analyse trends in application errors over time.
Retrieve IAM policy for a specified project.
Test whether a user has specific permissions on the project.
Test whether a user has specific permissions on a resource.
Check if the necessary permissions are available for deployment.
List services available for deployment within the project.
Analyse gaps in permissions for deployment to a specified service.
Query logs based on specified criteria.
Query logs for a specific time range.
Perform a comprehensive search of logs.
Execute a SQL query on a specified Spanner database.
List all tables within a specified Spanner database.
List all Spanner instances within a project.
List all databases within a specified Spanner instance.
Perform a natural language query on a Spanner database.
Count the number of records returned by a query in a Spanner database.
Query specific metrics from Google Cloud Monitoring.
List all available metric types for monitoring.
Perform a natural language query to retrieve monitoring metrics.
List performance profiles from Google Cloud Profiler.
Analyse application performance based on collected profiles.
Compare performance trends between different profiles.
Retrieve details for a specific trace in Google Cloud Trace.
List all traces for a specified project.
Find traces related to specific log entries.
Perform a natural language query to retrieve traces.
