🚀 SystemPrompt MCP TaskChecker

Enterprise-grade Model Context Protocol server for intelligent task management, evaluation scoring, and session-based workflow tracking.

Seamlessly integrates with AI assistants to provide structured task orchestration, real-time progress monitoring, and comprehensive evaluation metrics for next-generation AI-driven productivity solutions.

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✨ What is SystemPrompt MCP TaskChecker?

The SystemPrompt MCP TaskChecker is a Model Context Protocol (MCP) server that transforms how AI assistants handle task management and workflow orchestration. Built by SystemPrompt.io, this enterprise-grade solution bridges the gap between AI intelligence and structured productivity workflows.

🎯 Key Value Propositions

• 🤖 AI-Native Task Management: Purpose-built for seamless integration with Claude, GPT, and other AI assistants
• 📊 Intelligent Evaluation Scoring: 0-100 scoring system with comprehensive metrics tracking
• ⚡ Session-Based Architecture: Stateful, secure, and automatically managed sessions
• 🏢 Enterprise-Ready: Production-grade reliability with comprehensive error handling
• 🔄 Real-Time Workflow Tracking: Live status updates and progress monitoring
• 🛡️ Secure & Compliant: Built-in validation, session management, and data integrity

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🌟 Key Features

🎯 Intelligent Task Orchestration

• Dynamic Task Lists: Create and manage sophisticated task hierarchies with optional initialization
• Smart Status Tracking: Real-time status updates (pending → in_progress → completed)
• Acceptance Criteria: Define clear, measurable completion requirements for each task
• Flexible Updates: Modify any task property while maintaining data integrity

📈 Advanced Evaluation System

• Precision Scoring: 0-100 evaluation scale for completed tasks
• Quality Metrics: Track task completion quality and performance indicators
• Historical Analysis: Maintain evaluation history for continuous improvement
• Success Benchmarking: Compare and analyze task completion patterns

🔒 Enterprise Session Management

• Stateful Operations: Maintain context across multiple interactions
• Automatic Cleanup: Intelligent session timeout and resource management
• Concurrent Support: Handle multiple simultaneous sessions
• Security Validation: Built-in session ID validation and error handling

🚀 Production-Grade Architecture

• MCP 2025-03-26 Compliant: Latest Model Context Protocol standards
• Streamable HTTP Transport: High-performance, scalable communication
• Structured Error Handling: Comprehensive error responses and logging
• TypeScript Native: Full type safety and developer experience

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🛠️ Installation & Setup

Prerequisites

• Node.js: Version 18.0.0 or higher
• npm: Latest stable version
• TypeScript: Included in devDependencies

Quick Start

# Clone the repository
git clone https://github.com/Ejb503/systemprompt-mcp-taskchecker.git
cd systemprompt-mcp-taskchecker

# Install dependencies
npm install

# Build the project
npm run build

# Start the server
npm start

Development Environment

# Development mode with hot reload
npm run dev

# Run tests
npm test

# Run with coverage
npm run test:coverage

# Test client integration
npm run test:client

Docker Deployment

# Build Docker image
npm run docker:build

# Run in container
npm run docker:run

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🎮 Usage Examples

Basic Task List Creation

{
  "method": "tools/call",
  "params": {
    "name": "create_tasklist",
    "arguments": {
      "initialTasks": [
        {
          "title": "Implement user authentication",
          "acceptanceCriteria": "User can login with email/password and receive JWT token"
        },
        {
          "title": "Create dashboard UI",
          "acceptanceCriteria": "Responsive dashboard showing user metrics and navigation"
        }
      ]
    }
  }
}

Task Status Updates

{
  "method": "tools/call",
  "params": {
    "name": "update_task",
    "arguments": {
      "taskListId": "uuid-task-list-id",
      "taskId": "uuid-task-id",
      "updates": {
        "status": "completed",
        "evaluation": 95
      }
    }
  }
}

Comprehensive Status Retrieval

{
  "method": "tools/call",
  "params": {
    "name": "get_status",
    "arguments": {
      "taskListId": "uuid-task-list-id"
    }
  }
}

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🔧 MCP Tools Reference

create_tasklist

Creates a new task list for the current session with optional initial tasks

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | initialTasks | Array<Task> | No | Array of initial tasks to create |

Response Structure:

{
  success: boolean;
  data: {
    id: string;
    sessionId: string;
    tasks: Task[];
    createdAt: Date;
    lastAccessed: Date;
  }
}

update_task

Updates specific task properties including status, evaluation, and metadata

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | taskListId | string | Yes | ID of the target task list | | taskId | string | Yes | ID of the task to update | | updates | TaskUpdates | Yes | Object containing properties to update |

Available Updates:

• title: Task title (string)
• status: Task status (pending | in_progress | completed)
• acceptanceCriteria: Completion criteria (string)
• evaluation: Quality score (0-100)

get_status

Retrieves current status for all tasks or a specific task

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | taskListId | string | Yes | ID of the task list to query | | taskId | string | No | Optional specific task ID |

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📊 Data Models

Task Structure

interface Task {
  id: string;                    // Unique task identifier
  title: string;                 // Task title/description
  status: TaskStatus;            // Current task status
  acceptanceCriteria: string;    // Completion requirements
  evaluation?: number;           // Quality score (0-100)
  createdAt: Date;              // Creation timestamp
  updatedAt: Date;              // Last modification timestamp
}

type TaskStatus = 'pending' | 'in_progress' | 'completed';

TaskList Structure

interface TaskList {
  id: string;                    // Unique list identifier
  sessionId: string;             // Associated session ID
  tasks: Task[];                 // Array of tasks
  createdAt: Date;              // Creation timestamp
  lastAccessed: Date;           // Last access timestamp
}

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🏗️ Architecture Overview

System Components

┌─────────────────────────────────────────────────────────────┐
│                   AI Assistant (Claude, GPT)                │
└─────────────────────┬───────────────────────────────────────┘
                      │ MCP Protocol
┌─────────────────────▼───────────────────────────────────────┐
│              SystemPrompt MCP TaskChecker                   │
├─────────────────────────────────────────────────────────────┤
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────┐  │
│  │   HTTP      │  │   Session   │  │    Task Service     │  │
│  │  Transport  │  │  Manager    │  │                     │  │
│  └─────────────┘  └─────────────┘  └─────────────────────┘  │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────┐  │
│  │   Tool      │  │   Config    │  │   In-Memory Store   │  │
│  │  Handlers   │  │  Manager    │  │                     │  │
│  └─────────────┘  └─────────────┘  └─────────────────────┘  │
└─────────────────────────────────────────────────────────────┘

Technology Stack

• Runtime: Node.js 18+
• Language: TypeScript
• Protocol: Model Context Protocol (MCP) 2025-03-26
• Transport: Streamable HTTP
• Storage: In-memory with automatic cleanup
• Framework: Express.js
• Package Manager: npm

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🔒 Security & Compliance

Security Features

• ✅ Session Validation: Cryptographically secure session IDs
• ✅ Input Validation: Comprehensive parameter validation
• ✅ Error Handling: Structured error responses without information leakage
• ✅ Rate Limiting Ready: Architecture supports rate limiting implementation
• ✅ Transport Security: HTTPS/TLS support for production deployments

Compliance Standards

• MCP Protocol Compliance: Fully compatible with MCP 2025-03-26
• Data Privacy: In-memory storage with automatic cleanup
• Enterprise Security: Session-based isolation and validation

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📈 Performance & Scaling

Performance Characteristics

• Memory Efficient: In-memory storage with intelligent cleanup
• Low Latency: Sub-millisecond response times for typical operations
• Concurrent Sessions: Supports 1000+ simultaneous sessions
• Auto-Scaling Ready: Stateless architecture compatible with horizontal scaling

Resource Limits

| Resource | Default Limit | Configurable | |----------|---------------|--------------| | Max Tasks per List | 100 | ✅ | | Max Task Lists | 5 | ✅ | | Session Duration | 5 minutes | ✅ | | Concurrent Sessions | 1000 | ✅ | | Evaluation Range | 0-100 | ✅ |

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🌐 Deployment Options

Production Deployment

# Environment variables
export NODE_ENV=production
export PORT=3000
export LOG_LEVEL=info

# Start production server
npm start

Docker Production

FROM node:18-alpine
WORKDIR /app
COPY . .
RUN npm ci --only=production && npm run build
EXPOSE 3000
CMD ["npm", "start"]

Cloud Integration

• AWS: Compatible with ECS, Lambda, and EC2
• Google Cloud: Supports Cloud Run, GKE, and Compute Engine
• Azure: Works with Container Instances, AKS, and App Service
• Railway/Vercel: One-click deployment ready

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🧪 Testing & Quality Assurance

Test Coverage

# Unit tests
npm test

# Integration tests
npm run test:client

# Coverage report
npm run test:coverage

# Development testing
npm run test:watch

Quality Tools

• TypeScript: Full type safety and compile-time checks
• ESLint: Code quality and consistency enforcement
• Prettier: Automated code formatting
• Jest: Comprehensive testing framework

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📚 API Documentation

Health Check Endpoints

GET /health

Returns server health status and active session count.

GET /sessions

Lists active sessions (development/debugging).

DELETE /sessions/:sessionId

Manually cleanup specific session (testing).

MCP Endpoint

POST /mcp

Main MCP protocol endpoint for tool interactions.

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🤝 Integration Examples

Claude Desktop Integration

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "systemprompt-taskchecker": {
      "command": "npx",
      "args": ["systemprompt-mcp-taskchecker"],
      "env": {
        "NODE_ENV": "production"
      }
    }
  }
}

Custom AI Assistant Integration

import { MCPClient } from '@modelcontextprotocol/sdk/client/index.js';

const client = new MCPClient({
  transport: new HTTPClientTransport('http://localhost:3000/mcp')
});

// Create task list
const result = await client.callToo