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 available for billing within the Google Cloud project.
List all SKUs (Stock Keeping Units) for billing purposes.
Analyse costs for a specific project over a defined time period.
Check for billing anomalies in a specific project.
Generate cost recommendations for a specific billing account.
Provide a breakdown of costs by service for the specified billing account.
List error groups for a specified project.
Get detailed information about a specific error group.
Analyse trends related to errors within a specified service and project.
Retrieve the IAM policy for a specific Google Cloud project.
Test if a user has specific permissions on a Google Cloud project.
Test if a user has permissions on a specific resource within a project.
Check deployment permissions for services in a specified project.
List all services that can be deployed within a specified project.
Analyse permission gaps for deploying to specific resources in a project.
Query and filter logs based on specified criteria.
Query logs within a specific time range.
Perform a comprehensive search for logs based on various parameters.
Execute a SQL query against a Google Cloud Spanner database.
List all tables within a specified Spanner database.
List all Spanner instances within a Google Cloud project.
List all databases within a specified Spanner instance.
Execute a natural language query against a Spanner database.
Count the number of entries in a specific table within a Spanner database.
Retrieve and analyze metrics for a specified Google Cloud project.
List all available metric types for the Google Cloud project.
Execute a natural language query to retrieve monitoring metrics.
List all profiles generated by the Google Cloud Profiler for a specific project.
Analyse performance characteristics of applications using Google Cloud Profiler.
Compare performance trends between different application deployments.
Retrieve details for a specific trace by its ID.
List all traces for a specified Google Cloud project.
Find traces related to specific log entries within a project.
Execute a natural language query to retrieve distributed traces.
