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 linked to a billing account.
Get billing information for a specific project.
List all services available for billing.
Retrieve a list of SKUs for a specific service.
Analyse costs for a specific project over a defined time period.
Check for billing anomalies in a given project.
Generate cost recommendations for a specified billing account.
Provide a breakdown of costs by service for a billing account.
List all error groups associated with a given project.
Retrieve details about a specific error group.
Analyse error trends for a specific service over time.
Get 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 deployment permissions for services in a project.
List all services deployed in a project.
Analyse permission gaps for deploying to a specific resource.
Query logs based on specified parameters.
Query logs for a specified time range.
Perform a comprehensive search of log entries.
Execute a SQL query against a Spanner database.
List all tables in a Spanner database.
List all Spanner instances in a project.
List all databases in a Spanner instance.
Execute a natural language query against a Spanner database.
Execute a count query against a Spanner database.
Retrieve metrics data for a specified project.
List all available metric types for Google Cloud services.
Query monitoring metrics using natural language.
List all CPU profiles for a specified project.
Analyse application performance based on profiling data.
Compare performance trends between different deployments.
Retrieve details for a specific trace ID.
List all traces for a specified project.
Find traces based on log entries.
Query traces using natural language.
