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 the billing account.
Get detailed billing information for a specific project.
List all services that are enabled for billing.
Retrieve a list of SKUs for the billing account.
Analyse costs for a specific project over a given time period.
Check for any billing anomalies in a specified project.
Generate cost recommendations based on billing account data.
Break down costs by service for better analysis.
List error groups from the specified project.
Get detailed information about a specific error group.
Analyse error trends for a specified service and project.
Retrieve the IAM policy for a specified project.
Test whether specific permissions are granted on the project.
Test permissions for a specific resource in the project.
Check if the necessary permissions are available for deployment.
List all services that can be deployed in the project.
Analyse gaps in permissions for deployment to specific resources.
Query log entries based on specified filters.
Query log entries within a specified time range.
Perform a comprehensive search for logs based on various criteria.
Execute a SQL query against a Google Cloud Spanner database.
List all tables in a specified Spanner database.
List all Spanner instances in the specified project.
List all databases in a specified Spanner instance.
Execute a natural language query against a Spanner database.
Count the number of rows returned by a query in the Spanner database.
Query metrics from Google Cloud Monitoring for a specific project.
List all available metric types in Google Cloud Monitoring.
Query metrics using natural language.
List application performance profiles from Google Cloud Profiler.
Analyse application performance to identify bottlenecks.
Compare performance trends between different application deployments.
Retrieve details for a specific trace by its ID.
List all traces recorded for the specified project.
Find traces related to specific log entries.
Query traces using natural language.
