What problem does it solve? Setting up Looker API authentication and connecting AI agents to a Looker instance requires juggling multiple environment variable conventions, credential files, and MCP server configurations, which is error-prone and risks leaking secrets. ## Core Features & Use Cases - Credential & Environment Setup: Maps Looker API3 Client ID and Secret to the correct environment variables for both the Looker Python SDK (LOOKERSDK_*) and the MCP Toolbox (LOOKER_*), with secure .env handling. - MCP Toolbox Integration: Provides a ready-to-use mcp_config.json block for Claude Desktop, Cursor, VS Code, and Antigravity, exposing 45 prebuilt Looker tools for LookML development and semantic querying. - Automated Injection Script: Generates looker.ini, .env, and the IDE MCP config snippet automatically from existing environment variables. - Use Case: A data engineer wants Claude Desktop to explore LookML models and run Looker queries locally; this Skill configures the credentials and MCP server so the agent can list explores, validate LookML, and run queries without remote credential forwarding. ## Quick Start Ask the AI agent to set up Looker authentication and generate the MCP Toolbox configuration using the credentials in your .env file.
