system-prompt-ai-framework

System Prompt AI Framework

A comprehensive framework for AI system prompts with enhanced MCP (Model Context Protocol) handshake workflows, Task Engine AI integration, and dynamic prompt management.

🚀 Features

Enhanced MCP Handshake Workflow

• JSON-RPC 2.0 Compliant: Full specification compliance with proper message formatting
• Transport Agnostic: Support for stdio, SSE/HTTP, and custom transports
• Session Management: Persistent state with automatic recovery and cleanup
• Capability Negotiation: Dynamic feature discovery and compatibility checking
• Security Framework: User consent controls and data privacy protection

Integration Capabilities

• Task Engine AI: Complete MCP server implementation with tools, resources, and prompts
• Dynamic Prompt Management: Real-time prompt optimization and versioning
• Composable Architecture: Multiple MCP server coordination and workflow orchestration
• Performance Optimization: Connection pooling, request batching, and intelligent caching

Production Ready

• Comprehensive Error Handling: JSON-RPC error codes with retry strategies
• Monitoring & Observability: Metrics collection and performance tracking
• Testing Framework: Unit, integration, and performance test suites
• Documentation: Complete implementation guides and best practices

📋 Requirements

• Node.js >= 18.0.0
• TypeScript (for development)
• MCP SDK compatibility

🛠 Installation

# Clone the repository
git clone https://github.com/cracked99/system-prompt-ai-framework.git
cd system-prompt-ai-framework

# Install dependencies
npm install

# Build the project
npm run build

🚀 Quick Start

Basic MCP Server Setup

import { EnhancedMCPServer } from './src/mcp/enhanced-server';

const server = new EnhancedMCPServer();
await server.start();

Client Integration

import { EnhancedMCPClient } from './src/mcp/enhanced-client';

const client = new EnhancedMCPClient();
await client.initialize(transport);

📖 Documentation

• Enhanced MCP Handshake Workflow - Complete specification and implementation guide
• Task Engine Integration - Task management with MCP
• Dynamic Prompt System - Real-time prompt optimization
• API Reference - Complete API documentation

🏗 Architecture

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   MCP Client    │    │   MCP Server    │    │  Task Engine    │
│                 │    │                 │    │                 │
│ • Session Mgmt  │◄──►│ • Tools         │◄──►│ • Task Mgmt     │
│ • Transport     │    │ • Resources     │    │ • Workflow      │
│ • Error Handle  │    │ • Prompts       │    │ • State Track   │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         └───────────────────────┼───────────────────────┘
                                 │
                    ┌─────────────────┐
                    │ Dynamic Prompt  │
                    │ Management      │
                    │                 │
                    │ • Versioning    │
                    │ • Performance   │
                    │ • Learning      │
                    └─────────────────┘

🧪 Testing

# Run all tests
npm test

# Run specific test suites
npm run test:unit
npm run test:integration
npm run test:performance

📊 Performance

• Throughput: >100 messages/second
• Latency: <50ms average response time
• Concurrency: 50+ concurrent connections
• Memory: Optimized for long-running sessions

🔒 Security

• User Consent Framework: Explicit approval for all operations
• Data Privacy: Strict access controls and transmission policies
• Tool Safety: Authorization required before execution
• Transport Security: TLS encryption and validation

🤝 Contributing

• Fork the repository
• Create a feature branch (git checkout -b feature/amazing-feature)
• Commit your changes (git commit -m 'Add amazing feature')
• Push to the branch (git push origin feature/amazing-feature)
• Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Model Context Protocol specification
• JSON-RPC 2.0 specification
• Task Engine AI community
• Dynamic prompt management research

📞 Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Documentation: Wiki

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