Lookerctl
Automate Looker workflows, CI pipelines, and AI-assisted LookML development with a lightweight CLI and MCP server.
About
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
- 66x Faster Local Validation (600ms vs 40s for large instances)
- Complete Local Development Workflow (Export, Edit, Validate, Push)
- Comprehensive Usage Analysis (understand field usage, find unused explores)
- Scientific Testing (AB testing, golden tests, query baselines)
- AI-Ready with MCP Server (JSON outputs, 20 tools for AI agents)
- 2 GitHub stars
Use Cases
- For Developers: Local development workflow, fast validation, safe refactoring, impact analysis.
- For AI Systems: MCP server integration for AI agents, programmatic field discovery, automated optimization.
- For Teams: CI/CD integration, performance tracking, automated optimization pipelines, visibility into user content.
Sponsored