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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List all billing accounts associated with your Google Cloud project.
Retrieve details for a specific billing account. Parameters: account_id (string)
List all projects that are linked to your billing accounts.
Get billing information for a specific project. Parameters: project_id (string)
List services available for billing in your Google Cloud projects.
List SKUs for the services available under your billing account.
Analyse costs for a specific project over a given time period. Parameters: project_id (string), time_period (string)
Detect anomalies in billing for a specific project.
Generate cost recommendations for a specific billing account. Parameters: account_id (string)
Get a breakdown of costs by service for a specific billing account.
List error groups for a specific project.
Get details for a specific error group. Parameters: group_id (string)
Analyse trends for application errors in a specific project.
Get the IAM policy for a specific project. Parameters: project_id (string)
Test if a user has specific permissions on a project. Parameters: project_id (string), permissions (array)
Test if a user has specific permissions on a resource.
Check deployment permissions for services in a project.
List services that can be deployed in a specific project.
Analyse gaps in permissions for deploying to a specific service in a project.
Query logs based on specified filters.
Query logs for a specific time range.
Perform a comprehensive search on logs.
Execute a SQL query on a specified Spanner database. Parameters: query (string), database_id (string)
List all tables in a specific Spanner database.
List all Spanner instances in a project.
List all databases in a specific Spanner instance.
Query Spanner databases using natural language.
Count the number of records in a specified table.
Retrieve metrics for a specific project.
List all available metric types in a specific project.
Query metrics using natural language.
List all performance profiles for a specific project.
Analyse application performance to identify bottlenecks.
Compare performance trends across different deployments.
Get details for a specific trace. Parameters: trace_id (string)
List all traces for a specific project.
Find traces related to specific logs.
Query traces using natural language.
