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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Highlight AIList all billing accounts associated with the Google Cloud project.
Retrieve 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 that are available for billing.
List all SKUs available for the specified service.
Analyse costs for a specified project over a given time period.
Check for billing anomalies in a specific project.
Generate cost recommendations for a specified billing account.
Get a breakdown of costs by service for a billing account.
List error groups associated with a specific project.
Retrieve details for a specific error group.
Analyse error trends over time for a specified service.
Get IAM policy for a specific project.
Test if a user has specific permissions in a project.
Test permissions on a specific resource within a project.
Check deployment permissions for a specified service in a project.
List deployment services available in a project.
Analyse permission gaps for a specific deployment.
Query log entries based on specified criteria.
Query log entries within a specified time range.
Perform a comprehensive search for log entries based on keywords.
Execute a SQL query on a specified Spanner database.
List all tables in a specified Spanner database.
List all Spanner instances associated with a Google Cloud project.
List all databases within a specified Spanner instance.
Query Spanner databases using natural language.
Count records in a specified table within a Spanner database.
Query and retrieve metrics from Google Cloud Monitoring.
List available metric types for monitoring in a project.
Query metrics using natural language.
List all available CPU profiles from Google Cloud Profiler.
Analyse application performance based on profiling data.
Compare performance trends between different profiling data sets.
Get details for a specific distributed trace.
List all traces associated with a specific project.
Find traces related to specific log entries.
Query traces using natural language.
