Looker Admin MCP

# Looker MCP (Model Context Protocol) Project PRD ## Overview The Looker MCP project aims to create an integration between Looker and the Model Context Protocol framework, enabling data analytics capabilities for MCP clients. ## Objectives - Create an AI experience to get analytical answers from Looker models - Enable data exploration using the Model Context Protocol - Deliver data exploration capabilities via MCP tools ## Success Criteria 1. Working MCP server with Looker integration 2. Reliable Cursor connectivity 3. Core set of useful tools 4. Well-documented codebase 5. Tested and stable functionality ## Development Plan ### Phase 1: Basic Setup (Completed) - ✅ Set up project structure - ✅ Configure Python environment and dependencies - ✅ Implement echo MCP server - ✅ Test stdio connectivity - ✅ Document setup and testing procedures ### Phase 2: Cursor Integration (Completed) - ✅ Integrate with Cursor - ✅ Test echo_tool with Cursor integration - ✅ Document Cursor integration steps ### Phase 3: Tool Interface Design for Looker Operations (Completed) - ✅ Design tool interface for Looker operations - ✅ Implement authentication using Looker client ID and secret - ✅ Use MCP tool to handle the looker_sdk.me function - ✅ Test Looker operations through the MCP tool ### Phase 4: Core Looker Tools (Partially Completed) - ✅ Design tool interfaces for Looker operations - ✅ Implement core Looker API client - Create basic tools: - ✅ Look information (list_looks implemented) - ✅ Dashboard information (list_dashboards implemented) - ⬜ Query execution - ✅ Connection testing (via looker_me) - ✅ Add error handling and logging - ⬜ Document tools and usage ### Phase 5: Prompts and Resources - Design helpful prompt templates - Implement resource providers - Create documentation resources - Test prompt effectiveness - Document prompts and resources ### Phase 6: Testing and Polish - Comprehensive testing - Performance optimization - Documentation cleanup - Final integration testing - Deployment preparation ## Current Implementation Features The current implementation provides: - Looker SDK authentication via environment variables - User information retrieval (looker_me tool) - Look listing capability (list_looks tool) - Dashboard listing capability (list_dashboards tool) - Environment variable mapping from LOOKER*\* to LOOKERSDK*\* - Robust error handling for API responses - Debugging utilities for SDK initialization ## Transport Modes The Looker MCP server supports two transport modes: - **stdio mode** (default): Reliable, well-tested mode that works with Cursor - **SSE mode**: Experimental mode with connection issues that need further investigation ## Additional Tasks - Investigate and fix the SSE connection issue to ensure proper functionality - Modularize the looker.py file to improve maintainability - Complete the remaining tools in Phase 4