EuConquisto Composer MCP

--- document: Educational Composition Workflow - Intelligent Systems Integration Plan version: 2.0.0 status: active author: Claude Desktop created: 2025-06-30 last_updated: 2025-06-30 supersedes: educational-composition-workflow-plan-v1.1.0-superseded.md --- # Educational Composition Workflow - Intelligent Systems Integration Plan ## 🎯 **Workflow Overview - REVISED** **Objective**: Implement end-to-end educational composition generation workflow leveraging **existing intelligent systems** for content creation, injection, and display in EuConquisto Composer interface. **Key Change**: Focus shifted from **development** to **integration and testing** based on discovery of 6 production-ready intelligent systems. **Target Flow**: 1. User prompts Claude Desktop for educational composition 2. Claude Desktop leverages existing intelligent systems for content generation 3. Intelligent systems create Composer-compatible JSON with Brazilian educational compliance 4. Claude Desktop injects JSON into Composer localStorage (**UNTESTED - PRIMARY FOCUS**) 5. User views composition in live Composer interface ## 🏗️ **Phase 1: Foundation Assessment** ✅ **COMPLETED** ### **1.1 Previous Work Analysis** **Status**: ✅ **COMPLETED - ASSETS CONFIRMED** **Existing Assets**: - ✅ `/compositions/fotossintese-composer-json-v1.0.0.js` - Complete JSON composition - ✅ `/compositions/fotossintese-composer-json-v1.1.0.js` - Updated version - ✅ `/compositions/fotossintese-composition-v1.0.0.js` - Alternative format - ✅ `/docs/compositions/fotossintese-documentation-v1.0.0.md` - Implementation guide - ✅ `/mcp-interface-structure.ts` - TypeScript interfaces for all content elements - ✅ `/docs/references/json-example.md` - Composer JSON patterns (50+ examples) **Tasks**: - [x] Review fotossíntese composition structure and JSON compliance ✅ **COMPLETED** - [x] Verify TypeScript interfaces match current Composer schema ✅ **COMPLETED** - [x] Assess composition quality and educational effectiveness ✅ **COMPLETED** ### **1.2 Authentication Foundation** **Status**: ✅ **COMPLETED - AUTHENTICATION WORKING** - ✅ JWT redirect server operational (`localhost:8080`) - ✅ Composer access confirmed via MCP tools - ✅ localStorage access capability available **Phase 1 Completion Date**: 2025-06-30 ## 🧠 **Phase 2: Intelligent Systems Assessment & Testing** (30-45 minutes) ### **2.1 Production-Ready Systems Inventory** **Status**: ⏳ **READY FOR TESTING** **Primary System** - Logical Starting Point: - 📍 `working-intelligent-mcp-server.ts` - **PRODUCTION-READY** Brazilian educational content creation **Supporting Intelligence**: - 🇧🇷 `brazilian-educational-analyzer.ts` - BNCC compliance and Portuguese patterns - 🧠 `educational-content-analyzer.ts` - AI engine for educational intent detection - 🔧 `intelligent-composer-mcp-server.ts` - Advanced v2.0.0 architecture with plugins - 🌐 `browser-intelligent-mcp-server.ts` - Browser integration capabilities - 📝 `enhanced-nlp-widget-parser.ts` - Natural language processing for widgets ### **2.2 System Integration Testing** **Logical Sequence**: **Step 1: Primary System Validation** (15 minutes) - Test `working-intelligent-mcp-server.ts` functionality - Validate JSON output format and structure - Confirm Brazilian educational content generation - Verify BNCC compliance integration **Step 2: Educational Analysis Pipeline** (15 minutes) - Test `educational-content-analyzer.ts` → `brazilian-educational-analyzer.ts` integration - Validate Portuguese language processing - Confirm grade level and subject classification accuracy **Step 3: JSON Compatibility Verification** (15 minutes) - Compare generated JSON with fotossíntese composition structure - Validate against TypeScript interfaces in `mcp-interface-structure.ts` - Confirm all required elements are properly formatted ## 💾 **Phase 3: localStorage Injection System** (60-90 minutes) - **PRIMARY FOCUS** ### **3.1 Critical Gap Analysis** **Status**: ❌ **UNTESTED - HIGHEST PRIORITY** This is the **only component not validated** in the entire workflow and represents the highest technical risk. ### **3.2 Browser Session Management with Intelligent Systems** (30-45 minutes) - Integration of `browser-intelligent-mcp-server.ts` with localStorage access - Authentication flow via JWT redirect with intelligent content generation - Session persistence and browser state management - Error handling and recovery for browser-based operations ### **3.3 Composition Injection Mechanism** (30-45 minutes) - localStorage key discovery and structure analysis for Composer - JSON injection script execution with generated intelligent content - Composer refresh/reload mechanism validation - Injection success validation and error detection - Timing optimization for reliable injection ### **3.4 Integration Testing** (15 minutes) - End-to-end test: Intelligent generation → JSON creation → localStorage injection - Validation of complete data persistence in browser - Composer interface refresh and content display verification ## ✅ **Phase 4: End-to-End Workflow Validation** (45-60 minutes) ### **4.1 Complete Pipeline Testing** (30 minutes) **Test Scenarios with Intelligent Systems**: - **Science**: Photosynthesis content with Brazilian curriculum alignment - **Mathematics**: Grade-appropriate mathematical concepts with BNCC compliance - **Portuguese Language**: Brazilian Portuguese content with educational standards - **Social Studies**: Brazilian historical/geographical content ### **4.2 Performance and Quality Validation** (15-30 minutes) - Generation speed: Leverage intelligent systems for <30 seconds from prompt to JSON - Injection reliability: >95% success rate with localStorage mechanism - Display accuracy: 100% element rendering in Composer interface - Educational compliance: BNCC standards verification through Brazilian analyzer ### **4.3 MCP Tool Integration Validation** **Enhanced Tools with Intelligent Systems**: - `generate-educational-composition` (using working-intelligent-mcp-server.ts) - `inject-composition-json` (localStorage injection mechanism) - `validate-composition-display` (Composer interface verification) - `complete-educational-workflow` (end-to-end pipeline) ## 📊 **Success Criteria - REVISED** ### **Technical** - **Integration Success**: All 6 intelligent systems successfully tested and validated - **Generation Performance**: <30 seconds from prompt to JSON using existing systems - **Injection Reliability**: >95% success rate for localStorage injection mechanism - **Display Accuracy**: 100% element rendering with intelligent content - **Educational Compliance**: BNCC standards maintained through Brazilian analyzer ### **Educational** - **Brazilian Standards**: Full BNCC compliance through brazilian-educational-analyzer.ts - **Content Quality**: Age-appropriate content with Portuguese optimization - **Learning Objectives**: Clear educational goals aligned with Brazilian curriculum - **Interactive Engagement**: Functional quizzes and interactive elements - **Professional Presentation**: Production-ready visual appearance ## 🚀 **Implementation Timeline - REVISED** **Total Estimated Time**: 2.5-3.5 hours (Reduced from 4.5 hours due to existing intelligent systems) - **Phase 1**: ✅ **COMPLETED** (Foundation Assessment) - **Phase 2**: 30-45 minutes (Intelligent Systems Testing) - **Significantly reduced** - **Phase 3**: 60-90 minutes (localStorage Injection) - **Primary focus and highest risk** - **Phase 4**: 45-60 minutes (End-to-End Validation) - **Reduced due to existing systems** ## 🔄 **Dependencies - UPDATED** ### **Critical Dependencies** (All Confirmed) - ✅ JWT Authentication working - ✅ Composer access via MCP tools - ✅ JSON patterns documented - ✅ TypeScript interfaces complete - ✅ **NEW**: 6 intelligent systems discovered and available - ✅ **NEW**: Brazilian educational analyzer for BNCC compliance - ❓ **UNKNOWN**: localStorage injection mechanism (Phase 3 primary focus) ## 🎯 **Next Steps - LOGICAL SEQUENCE** ### **Immediate Actions** 1. ~~Begin Phase 1: Foundation Assessment~~ ✅ **COMPLETED** 2. **Phase 2 Step 1**: Test `working-intelligent-mcp-server.ts` primary system 3. **Phase 2 Step 2**: Validate educational analysis pipeline integration 4. **Phase 2 Step 3**: Confirm JSON compatibility with existing compositions 5. **Phase 3 Focus**: localStorage injection mechanism testing (**HIGHEST PRIORITY**) 6. **Phase 4**: End-to-end workflow validation with intelligent systems ### **Risk Mitigation** - **Primary Risk**: localStorage injection mechanism (untested) - **Mitigation**: Dedicated Phase 3 focus with extensive testing - **Backup Plan**: Alternative injection methods if localStorage approach fails --- **Implementation Status**: 🧠 **INTELLIGENT SYSTEMS INTEGRATION APPROACH** **Current Phase**: ✅ **Phase 1 Complete** **Next Phase**: 🧠 **Phase 2: Intelligent Systems Assessment & Testing** **Primary Focus**: 💾 **Phase 3: localStorage Injection System** (untested component) **Key Advantage**: Leveraging existing production-ready Brazilian educational intelligent systems