MCP Repo Scan

Purpose

Perform systematic repository integrity audit, resolve architectural/operational deficiencies, and enhance system performance through detailed analysis of RE-Engine's codebase structure, workflow implementations, and MCP integration patterns.

Pre-Scan Validation Requirements

• Repository synchronized with latest remote commit
• Zero uncommitted changes in working directory
• Full build validation across all components:
  • engine/: npm run build
  • web-dashboard/: npm run build
  • playwright/: npm run build
  • mcp/*/: npm run build (all MCP servers)

Detailed Scan Execution Phases

Phase 1: Repository Structure & Code Quality Audit

1. Technology Stack Assessment:

   • TypeScript composition: 60.5% (type safety analysis)
   • JavaScript composition: 25.2% (migration opportunities)
   • Runtime requirements: Node.js v22+, React 18+, Playwright
   • Data layer: PostgreSQL (primary), Redis (caching/queues)

2. Component Architecture Analysis:

   • engine/: Core backend API, business logic orchestration, message routing engine
   • web-dashboard/: React-based approval interface, real-time monitoring dashboard
   • playwright/: Browser automation framework for human-in-the-loop workflow execution
   • mcp/: Model Context Protocol servers (reengine-core, reengine-browser, reengine-tinyfish)
   • scripts/: Deployment automation, utility scripts, maintenance routines

3. Dependency & Entrypoint Validation:

   • Package.json dependency audit (security vulnerabilities, outdated packages)
   • Entrypoint file analysis (index.ts, main.js, server.js)
   • Circular dependency detection
   • Unused import elimination

Phase 2: Flow Analysis & Issue Resolution

4. Outreach Workflow Mapping:

   • Lead ingestion → CSV normalization → data enrichment → approval queue population
   • Approval workflow → multi-channel dispatch (WhatsApp API, Telegram Bot, SMTP, LinkedIn API, Facebook Graph)
   • Automated scheduling infrastructure (daily draft generation @ 08:00 UTC, IMAP polling @ 15-min intervals)
   • Response capture → sentiment analysis → CRM integration

5. End-to-End Flow Debugging:

   • Request parsing → controller routing → service layer → job queue → persistence layer → external API calls
   • Data transformation validation (DTOs, mappers, serializers)
   • Error propagation analysis and recovery mechanisms
   • Transaction boundary identification and optimization

Phase 3: Performance Optimization

6. Development Workflow Enhancement:

   • Build optimization: npm run build (parallel compilation, tree-shaking)
   • Testing strategies: npm test (unit), npm run test:integration (API), npm run test:smoke (E2E)
   • Code quality: npm run lint (ESLint), npm run format (Prettier), npm run typecheck (TypeScript)
   • Local development: npm run dashboard (UI), npm run mcp:start (servers)

7. Deployment Pipeline Optimization:

   • Staging deployment: npm run deploy:staging (manual) or GitHub Actions (develop branch auto)
   • Production deployment: npm run deploy:production (manual) or GitHub Actions (release branch auto)
   • CI/CD enhancements: security scanning → dependency analysis → build validation → automated deployment

8. Environment Configuration Management:

   • Required environment variables (.env.example validation)
   • Database connection pooling (PostgreSQL max_connections, Redis cluster config)
   • External service integration health checks (WhatsApp API status, email provider deliverability)

Phase 4: MCP Server Deep Dive

9. MCP Server Architecture Review:

   • mcp-reengine-core/: Business logic abstraction layer, tool orchestration
   • mcp-reengine-browser/: Playwright integration, browser automation primitives
   • mcp-reengine-tinyfish/: Specialized domain tools, custom workflow implementations

10. MCP Server Implementation Fixes:

    • Tool implementation validation (input sanitization, output formatting)
    • JSON schema compliance for request/response structures
    • Authentication token validation and refresh mechanisms
    • Error handling standardization (retry policies, circuit breakers)

11. MCP Performance Validation:

    • Load testing: npm run mcp:start with concurrent request simulation
    • Memory leak detection in long-running processes
    • Tool execution timeout optimization
    • Inter-server communication efficiency

Phase 5: Documentation Enhancement & Reporting

12. Documentation Updates:

    • docs/ARCHITECTURE.md: Updated component interaction diagrams
    • docs/FLOWS.md: Detailed workflow sequence diagrams
    • docs/OPERATIONS.md: Enhanced development/deployment procedures
    • docs/MCP_SERVERS.md: Comprehensive MCP server implementation guide

13. Comprehensive Audit Report Generation:

    • Issue inventory with severity classification
    • Performance improvement metrics (before/after benchmarks)
    • MCP server optimization results
    • Documentation change log
    • Strategic recommendations for continued optimization

Deliverables

Complete audit and enhancement package including:

• Automated fix application scripts
• Interactive issue investigation interface
• Continuous optimization monitoring framework