Obsidian Elite RAG MCP Server

# DailyDoco Pro MCP Server Elite automated documentation platform with AI test audiences and performance analytics. ## Features - **Project Analysis** - Intelligent project structure analysis and documentation opportunities - **Video Capture** - Automated screen recording with predictive moment detection - **AI Test Audience** - Simulate 50-100 synthetic viewers with detailed feedback - **Personal Branding** - AI-powered brand evolution and optimization - **Authenticity Engine** - Human-like content generation with 95%+ AI detection resistance - **Performance Monitor** - Real-time system metrics and optimization insights - **Video Compilation** - Professional video compilation with AI narration ## Installation ```bash cd dailydoco-pro npm install npm run build ``` ## Configuration Environment variables: - `USER_EMAIL` - Your email for registration and branding - `ENABLE_AUTO_REGISTRATION` - Auto-register on first use (default: true) ## MCP Tools ### Project Analysis - `analyze_project` - Analyze project structure and identify documentation opportunities - `fingerprint_project` - Generate unique project fingerprint with technology detection - `get_project_insights` - Get AI-powered insights about documentation opportunities ### Video Capture & Compilation - `start_capture` - Start intelligent video capture with predictive moment detection - `stop_capture` - Stop capture and begin processing - `get_capture_status` - Get real-time capture status and metrics - `compile_video` - Compile video with AI optimization and professional quality - `get_compilation_status` - Get video compilation progress and status ### AI Test Audience - `run_test_audience` - Run AI test audience simulation with 50-100 synthetic viewers - `generate_personas` - Generate synthetic viewer personas for testing ### Personal Branding - `analyze_brand_performance` - Analyze personal brand evolution and performance metrics - `get_brand_recommendations` - Get AI-powered brand optimization recommendations - `learn_from_performance` - Update brand model with new performance data ### Authenticity & Performance - `validate_authenticity` - Validate content authenticity and AI detection resistance - `apply_human_fingerprint` - Apply human authenticity enhancements to content - `get_system_metrics` - Get real-time system performance metrics - `run_performance_benchmark` - Run comprehensive performance benchmark - `optimize_workflow` - Get workflow optimization suggestions ## Usage Examples ```javascript // Analyze a project await analyze_project({ path: "/path/to/project", detect_complexity: true, include_git_analysis: true }); // Start video capture await start_capture({ project_path: "/path/to/project", quality: "1080p", ai_optimization: true }); // Run AI test audience await run_test_audience({ video_id: "video-uuid", audience_size: 50, optimization_focus: ["engagement", "retention"] }); ``` ## License MIT License - Commercial use allowed