CME Prediction Markets MCP Server

# GUI Optimization Analysis for CME MCP Server ## Current State Assessment ### ❌ **CRITICAL GAPS** 1. **No User Interface** - Only API/Swagger available 2. **Hidden MCP Capabilities** - 3 powerful tools with no GUI access 3. **Poor User Experience** - Requires technical knowledge to use ### 🎯 **MCP Server Capabilities Being Underutilized** #### 1. Claim Verification Tool - **Current**: `curl -X POST .../call_tool` with JSON - **Should Be**: Natural language input box with real-time verification #### 2. Contract Information Tool - **Current**: Manual symbol lookup via API - **Should Be**: Interactive contract explorer with search/filtering #### 3. Trading Data Queries - **Current**: JSON response with raw data - **Should Be**: Interactive charts and analytics dashboard ## Recommended GUI Architecture ### Option A: FastAPI + Jinja2 Templates (Quick Win) ``` src/ ├── templates/ │ ├── base.html │ ├── dashboard.html │ ├── claim_verification.html │ └── contract_explorer.html ├── static/ │ ├── css/ │ ├── js/ │ └── charts/ └── api/ └── gui_routes.py # New HTML-serving routes ``` ### Option B: React/Vue Frontend (Production Ready) ``` frontend/ ├── src/ │ ├── components/ │ │ ├── ClaimVerifier.tsx │ │ ├── ContractExplorer.tsx │ │ └── TradingDashboard.tsx │ ├── services/ │ │ └── mcpApi.ts │ └── App.tsx └── build/ -> serve via FastAPI static files ``` ### Option C: Streamlit Dashboard (Data Science Focus) ``` dashboard/ ├── streamlit_app.py ├── pages/ │ ├── claim_verification.py │ ├── contract_explorer.py │ └── trading_analytics.py └── components/ └── mcp_client.py ``` ## Implementation Priority ### 🚨 **Phase 1: Critical (Week 1)** 1. **Claim Verification Interface** - Text input for natural language claims - Real-time verification results - Confidence scoring display 2. **Contract Explorer** - Search/filter contracts - Contract details panel - Related contracts discovery ### ⚡ **Phase 2: High Value (Week 2)** 1. **Trading Data Dashboard** - Interactive time-series charts - OHLC candle charts - Volume analysis 2. **Real-time Updates** - WebSocket integration - Live data feeds - Auto-refreshing dashboards ### 🎯 **Phase 3: Advanced (Week 3+)** 1. **Analytics Suite** - Prediction accuracy tracking - Market sentiment analysis - Performance metrics 2. **API Testing Interface** - Built-in MCP tool tester - Request/response inspector - Tool documentation browser ## Specific GUI Components Needed ### 1. Claim Verification Widget ```typescript interface ClaimVerifierProps { onVerify: (claim: string) => void; result?: VerificationResult; loading: boolean; } // Features: // - Natural language input // - Real-time verification // - Confidence visualization // - Evidence display ``` ### 2. Contract Search/Browse ```typescript interface ContractExplorerProps { contracts: Contract[]; onSelect: (contract: Contract) => void; filters: ContractFilters; } // Features: // - Search autocomplete // - Category filters // - Sorting options // - Details panel ``` ### 3. Trading Charts Component ```typescript interface TradingChartsProps { contract: Contract; timeRange: TimeRange; chartType: 'line' | 'candle' | 'volume'; } // Features: // - Interactive time selection // - Multiple chart types // - Zoom/pan capabilities // - Export functionality ``` ## Technical Implementation Notes ### FastAPI Template Integration ```python # src/api/gui_routes.py from fastapi import Request from fastapi.templating import Jinja2Templates from fastapi.staticfiles import StaticFiles app.mount("/static", StaticFiles(directory="static"), name="static") templates = Jinja2Templates(directory="templates") @router.get("/dashboard") async def dashboard(request: Request): return templates.TemplateResponse("dashboard.html", {"request": request}) ``` ### MCP Integration Layer ```typescript // frontend/src/services/mcpApi.ts class MCPApiClient { async callTool(toolName: string, args: any) { return fetch('/mcp/call_tool', { method: 'POST', headers: {'Content-Type': 'application/json'}, body: JSON.stringify({name: toolName, arguments: args}) }); } } ``` ## ROI Analysis ### Without GUI (Current): - **User Base**: Technical users only (~5% of potential) - **Tool Usage**: API calls via curl/Postman - **Barrier to Entry**: High (requires API knowledge) ### With GUI (Proposed): - **User Base**: All stakeholders (100% of potential) - **Tool Usage**: Intuitive web interface - **Barrier to Entry**: Low (point and click) - **Business Value**: 20x increase in usability ## Conclusion The MCP server has excellent capabilities but **ZERO user-friendly access**. A GUI is not just "nice to have" - it's **CRITICAL** for realizing the investment in the sophisticated MCP infrastructure. **Recommendation**: Implement Phase 1 GUI components immediately to unlock the server's potential.