Query and analyze logs from Google Cloud Platform's Cloud Logging service to monitor errors, track resource activity, and troubleshoot issues across GCP projects.
Retrieve and analyze logs from Google Cloud Platform's Cloud Logging service to identify errors, monitor resources, and troubleshoot issues with customizable filters, time ranges, and output formats.
Retrieve Cloud Logging entries for your GCP project using customizable filters and pagination. Simplify log analysis by fetching specific logs with a structured query.
An MCP server that enables interaction with Google Cloud Logging API, allowing users to write, read, and manage log entries and configurations through natural language.
Enables AI assistants to query, search, and analyze logs across Google Cloud Platform projects. It supports advanced filtering by severity or resource type and provides detailed log entry retrieval and project listing capabilities.
Allows developers and AI Agents to query Google Cloud Logging using natural language, translating queries into Google Cloud Logging Query Language (LQL) with Vertex AI Gemini 2.5.