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.
Get details of 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 for a given service.
Analyse costs for a specific project over a defined time period.
Check for billing anomalies in a specific project.
Generate cost recommendations for a billing account.
Get a breakdown of costs by service for a billing account.
List error groups from a specific project.
Get details for a specific error group.
Analyse error trends for a specific service in a project.
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 a service in a project.
List services that can be deployed in a project.
Analyse permission gaps for deployments in a specific project.
Query log entries from Google Cloud Logging.
Query logs based on a specified time range.
Conduct a comprehensive search through logs.
Execute a SQL query on a Google Cloud Spanner database.
List all tables in a specific Spanner database.
List all Spanner instances in a project.
List all databases in a specific Spanner instance.
Execute a query using natural language processing on a Spanner database.
Count the number of rows returned by a SQL query in a Spanner database.
Query metrics from Google Cloud Monitoring.
List all available metric types for Google Cloud services.
Query monitoring metrics using natural language.
List application profiles from Google Cloud Profiler.
Analyse application performance to identify bottlenecks.
Compare performance trends between different application versions.
Get details for a specific trace ID from Google Cloud Trace.
List traces from a specific project.
Find traces related to specific log entries.
Query traces using natural language processing.
