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.
Get detailed information about 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.
List all SKUs (Stock Keeping Units) associated with billing.
Analyse costs for a specific project over a specified time period.
Check for anomalies in billing data for a specific project.
Generate cost recommendations for a specific billing account.
Break down costs by service for a specific billing account.
List error groups from a specific project.
Get details for a specific error group.
Analyse trends in application errors for a specific service.
Retrieve the IAM policy for a specific project.
Test if a user has specific permissions on a project.
Test if a user has specific permissions on a resource.
Check if a user has the necessary permissions to deploy resources.
List all services that are available for deployment within a project.
Analyse for any gaps in permissions needed for deployment.
Query and filter logs based on specified criteria.
Query logs for a specific time range.
Perform a comprehensive search of logs.
Execute a SQL query against a Spanner database.
List all tables in a specific Spanner database.
List all Spanner instances associated with a project.
List all databases in a specific Spanner instance.
Execute a natural language query against a Spanner database.
Execute a count query against a Spanner database.
Retrieve metrics from Google Cloud Monitoring.
List all available metric types for Google Cloud resources.
Execute a natural language query to retrieve monitoring metrics.
List application performance profiles from Google Cloud Profiler.
Analyse application performance based on profiling data.
Compare performance trends between different application versions.
Get detailed information about a specific trace.
List all traces from a specific project.
Find logs related to a specific trace ID.
Execute a natural language query to retrieve trace information.
