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 details for a specific billing account.
List all projects linked to a billing account.
Get detailed information about a specific project.
List all services available for billing.
List all SKUs (Stock Keeping Units) for billing.
Analyse costs for a specified project over a given time period.
Detect any anomalies in the billing for a specified project.
Generate cost recommendations for a specified billing account.
Provide a breakdown of costs by service for a specified billing account.
List error groups for a specified project.
Retrieve details for a specific error group.
Analyse error trends for a specific service in a project.
Retrieve the IAM policy for a specified project.
Test if a specified permission is granted on a project.
Test if a specified permission is granted on a resource.
Check if necessary permissions are in place for deployments.
List all services that can be deployed within a project.
Analyse gaps in permissions required for deployment.
Query logs from Google Cloud Logging based on specified criteria.
Query logs within a specific time range.
Perform a comprehensive search for logs based on specified filters.
Execute a SQL query against a Google Cloud Spanner database.
List all tables in a specified Spanner database.
List all Spanner instances within a project.
List all databases within a specified Spanner instance.
Query the Spanner database using natural language.
Count the number of records in a specified table.
Query metrics data from Google Cloud Monitoring.
List all available metric types for monitoring.
Query metrics using natural language.
List application profiles from Google Cloud Profiler.
Analyse performance bottlenecks in a specified service.
Compare performance trends between different deployments.
Retrieve details for a specific trace by its ID.
List all traces for a specified project.
Find traces related to specific logs.
Query traces using natural language.
