Automate Looker workflows, CI pipelines, and AI-assisted LookML development with a lightweight CLI and MCP server.
Sponsored
Lookerctl is a comprehensive command-line interface designed for managing and optimizing LookML at scale. It significantly enhances developer productivity by offering features like 66x faster local validation, a complete local development workflow (Export → Edit → Validate → Push), and in-depth usage analysis. Beyond development, it enables scientific testing with AB and golden tests, dependency mapping, and is fully AI-ready with JSON outputs and an integrated Model Context Protocol (MCP) server that provides 20 tools for AI agents, streamlining Looker operations and fostering AI-driven optimization.
Key Features
0166x Faster Local Validation (600ms vs 40s for large instances)
02Complete Local Development Workflow (Export, Edit, Validate, Push)
03Comprehensive Usage Analysis (understand field usage, find unused explores)
04Scientific Testing (AB testing, golden tests, query baselines)
05AI-Ready with MCP Server (JSON outputs, 20 tools for AI agents)
062 GitHub stars
Use Cases
01For Developers: Local development workflow, fast validation, safe refactoring, impact analysis.
02For AI Systems: MCP server integration for AI agents, programmatic field discovery, automated optimization.
03For Teams: CI/CD integration, performance tracking, automated optimization pipelines, visibility into user content.
