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.
Aún no hay reseñas. ¡Sé el primero en reseñar!
Inicia sesión para unirte a la conversación
Highlight AIList all billing accounts associated with the Google Cloud project.
Get detailed information about a specific billing account.
List all projects associated with a billing account.
Get billing information for a specific project.
List all services available for billing in the specified project.
List all SKUs (Stock Keeping Units) available for billing.
Analyse costs for a specific project over a defined time period.
Check for any billing anomalies in a specified project.
Generate cost recommendations for a specific billing account.
Get a breakdown of services used by a billing account.
List error groups for a specific project.
Get details for a specific error group.
Analyse error trends for a specified service in a project.
Retrieve the IAM policy for a specified project.
Test whether the current user has specific permissions on a project.
Test whether the current user has specific permissions on a resource.
Check if the user has permissions necessary for deploying resources.
List all services that can be deployed in the specified project.
Analyse gaps in permissions for deploying to a specified resource.
Query logs from Google Cloud Logging based on specified parameters.
Query logs from Google Cloud Logging within a specific time range.
Perform a comprehensive search for log entries based on specified criteria.
Execute a SQL query against a Google Cloud Spanner database.
List all tables in a specified Spanner database.
List all Spanner instances in a specified project.
List all databases within a specified Spanner instance.
Query Spanner databases using natural language processing.
Count the number of records in a specified Spanner database table.
Retrieve metrics from Google Cloud Monitoring for analysis.
List all available metric types for Google Cloud services.
Query metrics using natural language processing.
List CPU profiles for a specified project.
Analyse application performance using profiling data.
Compare performance trends between different versions of the application.
Retrieve details for a specific trace based on its ID.
List all traces for a specified project.
Find traces related to specific log entries.
Query distributed traces using natural language processing.
