A revolutionary form builder application built on the Model Context Protocol (MCP) architecture. Form Flow demonstrates advanced MCP implementation patterns for form creation, field management, and data processing.
Form Flow is built around a sophisticated MCP (Model Context Protocol) system that separates business logic from UI components, providing:
- Centralized Business Logic: All form operations handled by dedicated MCP implementations
- Performance Tracking: Built-in execution time monitoring and performance metrics
- Comprehensive Logging: Detailed console logging for debugging and monitoring
- Error Handling: Standardized error reporting and recovery mechanisms
- Type Safety: Full TypeScript support with strict type checking
// Create, validate, and manage forms
const result = FormMCP.createForm(formData, userId)
const validation = FormMCP.validateFormData(data)
const sanitized = FormMCP.sanitizeFormData(data)// Render, validate, and manage form fields
const renderResult = FieldMCP.render(fieldProps)
const validation = FieldMCP.validateField(field)
const component = FieldMCP.getComponent(fieldType)// Process form submissions with validation
const result = SubmissionMCP.processSubmission(submissionData, formId)
const validation = SubmissionMCP.validateSubmission(data, form)- Smart delimiter detection and quote handling
- Data type analysis with confidence scoring
- Pattern recognition for emails, phones, dates, URLs
- Data quality metrics (completeness, consistency, validity)
- Multi-strategy detection (pattern, semantic, statistical, contextual)
- Semantic analysis of column names
- Statistical analysis for data distribution
- Confidence scoring and alternative suggestions
- Coordinates CSV processing MCPs
- Intelligent field type selection
- Automatic validation rule generation
- Form preview and complexity analysis
- FormBuilderTabs: Main tab container with clean separation of concerns
- ManualFormTab: Dedicated manual form building interface
- CSVUploadTab: Specialized CSV processing and template management
- MCPStatusIndicator: Real-time MCP operation status
- MCPPerformanceDisplay: Performance metrics visualization
- MCPHealthDashboard: System health monitoring
Professional template library with 5 pre-built templates:
- Contact Information Form: Name, email, phone, company, address
- Event Registration Form: Attendee info, dietary restrictions, emergency contacts
- Customer Satisfaction Survey: Rating scales, feedback, permission tracking
- Job Application Form: Complete application with experience, education, references
- Product Feedback Form: Bug reports, feature requests, technical details
- Manual Builder: Drag-and-drop interface with 25+ field types
- CSV Import: Upload CSV files with intelligent field type detection
- Template System: Pre-built templates with one-click downloads
- Real-time Processing: Live preview with MCP status indicators
- Basic Inputs: text, email, password, number, url, search
- Date & Time: date, datetime, time, month, week, year
- Advanced Text: textarea, rich-text, markdown
- Selection: select, multiselect, checkbox, radio, yesno, toggle
- Financial: money, percentage, currency
- Contact: phone, address, country, state, zipcode
- File & Media: file, image, signature, audio, video
- Rating & Scale: rating, slider, range, likert
- Specialized: color, tags, autocomplete, location, matrix
// Enhanced console logging with detailed MCP information
console.log('π§ MCP: createForm β
')
console.log('π₯ Input Data:', sanitizedInput)
console.log('π€ Result Data:', result)
console.log('β±οΈ Performance Metrics:', executionTime)
console.log('π MCP Metadata:', metadata)- Frontend: Next.js 15.3.4, React 19.0.0
- UI Framework: PrimeReact 10.9.6 with Lara Dark Purple theme
- Form Handling: React Hook Form 7.58.1
- Styling: Tailwind CSS + PrimeFlex
- State Management: React Context API
- Type Safety: TypeScript 5
- MCP Architecture: Custom Model Context Protocol implementation
- Clone the repository:
git clone <repository-url>
cd form-flow-mcp- Install dependencies:
npm install- Run the development server:
npm run dev- Open your browser to http://localhost:3000
// 1. Create MCP implementation
export class NewMCP {
static operation(data: any): MCPResult<any> {
const tracker = MCPLogger.createPerformanceTracker('operation')
try {
// Your business logic here
const result: MCPResult<any> = {
success: true,
data: processedData,
metadata: {
executionTime: tracker.end(),
operation: 'operation',
timestamp: new Date(),
},
}
MCPLogger.log('operation', data, result)
return result
} catch (error) {
// Error handling
}
}
}// Configure MCP logging
MCPLogger.configure({
debug: true,
logLevel: 'debug',
enablePerformanceTracking: true,
onLog: (level, operation, message, data, executionTime) => {
// Custom logging callback
}
})The MCP system includes comprehensive performance tracking:
- Execution Time Monitoring: Track operation performance
- Memory Usage: Monitor resource consumption
- Error Rate Tracking: Monitor system health
- Real-time Metrics: Live performance dashboard
// Test MCP operations
import { FormMCP, FieldMCP } from '@/lib/mcp'
// Test form creation
const formResult = FormMCP.createForm(testData, userId)
console.assert(formResult.success, 'Form creation should succeed')
// Test field rendering
const fieldResult = FieldMCP.render(fieldProps)
console.assert(fieldResult.success, 'Field rendering should succeed')Form Flow provides extensive console logging for MCP operations:
- π§ MCP Operations: Detailed operation logs with status indicators
- π₯ Input Data: Sanitized input data logging
- π€ Result Data: Complete result information
- β±οΈ Performance Metrics: Execution time and performance data
- β Error Details: Comprehensive error information
β οΈ Warnings: System warnings and recommendations
- Fork the repository
- Create a feature branch:
git checkout -b feature/new-mcp - Implement your MCP following the established patterns
- Add comprehensive logging and error handling
- Test your implementation thoroughly
- Submit a pull request
This project is licensed under the MIT License - see the LICENSE file for details.
- Built with the Model Context Protocol (MCP) architecture
- Powered by Next.js and React
- UI components from PrimeReact
- Form handling by React Hook Form
Form Flow - Demonstrating the power of MCP architecture in modern web applications.