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 user.
Retrieve details for a specific billing account.
List all projects associated with billing accounts.
Get billing information for a specific project.
List all services that are available for billing.
List all SKUs available for billing.
Analyse costs for a specific project over a defined time period.
Check for anomalies in billing for a specific project.
Generate cost recommendations for a specific billing account.
Get a breakdown of costs by service for a specific billing account.
List error groups for a specific project.
Get details for a specific error group.
Analyse error trends for a specific service in a project.
Retrieve the IAM policy for a specific project.
Test if a specific permission is granted on a project.
Test if a specific permission is granted on a resource.
Check deployment permissions for a specific service in a project.
List all services for a given deployment.
Analyse permission gaps for deploying to a specific resource.
Query logs from Google Cloud Logging based on specific criteria.
Query logs for a specific time range.
Perform a comprehensive search of logs based on various parameters.
Execute a SQL query on a Google Cloud Spanner database.
List all tables in a specified Spanner database.
List all Spanner instances in a project.
List all databases in a specified Spanner instance.
Execute a natural language query on a Spanner database.
Execute a count query on a Spanner database.
Retrieve and analyse metrics from Google Cloud Monitoring.
List all metric types available in Google Cloud Monitoring.
Query metrics using natural language.
List application performance profiles from Google Cloud Profiler.
Analyse application performance for a specific service.
Compare performance trends between different application versions.
Retrieve details for a specific trace.
List all traces for a specified project.
Find traces related to logs in a specific project.
Query traces using natural language.
