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 detailed billing information for a specific project.
List all services available for billing in the Google Cloud project.
List all SKUs (Stock Keeping Units) available for billing in the project.
Analyse costs for a specific project over a specified time period.
Check for any anomalies in billing for a specific project.
Generate cost-saving recommendations for a specific billing account.
Provide a breakdown of costs by service for a specific billing account.
List all error groups from a specified Google Cloud project.
Get detailed information about a specific error group.
Analyse trends in errors for a specified service within a project.
Retrieve the IAM policy for a specific Google Cloud project.
Test whether a specific user has certain permissions on a project.
Test whether a specific user has permissions on a specific resource.
Check if the user has the necessary permissions to deploy resources in a project.
List all services associated with deployments in a specific project.
Analyse for gaps in permissions for deploying to a specified resource.
Query and retrieve log entries from Google Cloud Logging.
Query logs for a specific time range.
Perform a comprehensive search of logs based on specified criteria.
Execute a SQL query against a Google Cloud Spanner database.
List all tables within a specific Google Cloud Spanner database.
List all instances of Google Cloud Spanner databases.
List all databases in a specific Spanner instance.
Execute a natural language query against a Google Cloud Spanner database.
Execute a count query against a Google Cloud Spanner database.
Retrieve and analyse metrics from Google Cloud Monitoring.
List all available metric types for a specific Google Cloud project.
Query metrics using natural language processing.
List all profiling data for an application in Google Cloud Profiler.
Analyse application performance to identify bottlenecks.
Compare performance trends between different application versions.
Retrieve detailed information about a specific trace.
List all traces for a specific Google Cloud project.
Find traces related to specific log entries.
Query traces using natural language processing.
