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 detailed information about a specific project’s billing.
List all services available for billing.
List all SKUs (Stock Keeping Units) for billing services.
Analyse costs for a specific project over a defined time period.
Check for any anomalies in billing for a specific project.
Generate cost recommendations for a specific billing account.
Get a breakdown of costs by service for a billing account.
List error groups for a specific project.
Retrieve details for a specific error group.
Analyse trends related to application errors in a specified service.
Get the IAM policy for a specific project.
Test permissions for a user on a specific project.
Test permissions for a user on a specific resource.
Check deployment permissions for a specified service in a project.
List all deployment services for a project.
Analyse permission gaps for a specified deployment.
Query logs based on specified parameters.
Query logs over a specified time range.
Perform a comprehensive search for log entries.
Execute a SQL query on a Google Cloud Spanner database.
List all tables in a specified Spanner database.
List all Spanner instances available in the project.
List all databases in a specified Spanner instance.
Execute a natural language query against a Spanner database.
Count the number of records in a specified table.
Query specific metrics from Google Cloud Monitoring.
List all available metric types for a specified service.
Query metrics using natural language.
List application performance profiles from Google Cloud Profiler.
Analyse application performance using the profiler.
Compare performance trends between different application versions.
Retrieve details for a specific trace by its ID.
List all traces for a specified project.
Find logs related to a specific trace.
Query traces using natural language.