🚀 Problem Solving MCP Server

Multi-Role Collaborative Problem Solving Framework Based on Model Context Protocol

📖 Documentation Navigation

🌟 Overview

This is an intelligent problem-solving MCP server that creates 3-12 professional roles based on problem complexity, uses the Eisenhower Matrix for priority management, and implements parallel processing optimization to generate comprehensive, executable, and efficient solutions.

✨ Core Features

• 🎭 Intelligent Team Configuration: Automatically recommend 3-12 member teams based on problem complexity
• 🔍 Multi-dimensional Quality Assurance: Comprehensive checks on completeness, feasibility, quality, risk, and timeline
• ⚡ Parallel Processing Optimization: Automatically detect repetitive tasks and expand teams (up to 30 members)
• 📊 Eisenhower Matrix Analysis: Important-urgent quadrant analysis for priority management
• 🤝 Multi-role Collaboration: 12 professional role types for comprehensive problem solving
• 💡 Reflection and Improvement: Built-in reflection mechanism for continuous optimization

🎯 API Documentation

Core Tools (4)

Management Tools (4)

Analysis Tools (4)

Reflection Tools (3)

🏗️ System Architecture

graph TB
    A[Problem Input] --> B[Role Creator]
    B --> C[Team Assembly]
    C --> D[Solution Generation]
    D --> E[Result Checker]
    E --> F{Quality Check}
    F -->|Pass| G[Execution Plan]
    F -->|Fail| H[Improvement Suggestions]
    H --> D
    G --> I[Parallel Optimizer]
    I --> J[Team Expansion]
    J --> K[Parallel Execution]
    K --> L[Coordinator]
    L --> M[Final Solution]
    M --> N[Reflection & Learning]
    
    subgraph "Core Components"
        B
        E
        L
        I
    end
    
    subgraph "Quality Assurance"
        F
        H
        N
    end
    
    subgraph "Execution Optimization"
        I
        J
        K
    end

🎭 Core Components

1. Role Creator (role-creator.ts)

• Function: Intelligently create professional teams based on problem characteristics
• Team Size: 3-12 members (expandable to 30 for parallel processing)
• Role Types: 12 professional roles including analyst, researcher, designer, developer, etc.
• Smart Matching: Select core and supporting roles based on problem domain and complexity

2. Result Checker (result-checker.ts)

• Multi-dimensional Assessment: Completeness, feasibility, quality, risk, timeline
• Problem Identification: Classify issues by severity (low, medium, high, critical)
• Improvement Suggestions: Generate specific, actionable recommendations
• Scoring System: Comprehensive scoring (0-100) with approval decisions

3. Coordinator (coordinator.ts)

• Process Management: Complete problem-solving workflow orchestration
• Task Dependencies: Manage task relationships and parallel execution
• Progress Tracking: Real-time monitoring of solution progress
• Quality Control: Multi-round improvement and iteration support

4. Parallel Optimizer (parallel-optimizer.ts)

• Task Analysis: Evaluate task repetitiveness and workload
• Team Expansion: Intelligent scaling based on workload analysis
• Role Subdivision: Single-function multi-role parallel processing
• Efficiency Target: 2.5x performance improvement goal

🚀 Best Practices

Problem Definition

// Good example
{
  title: "Develop AI Customer Service System",
  description: "Develop intelligent customer service system for e-commerce platform, supporting multi-turn dialogue, sentiment analysis, and automatic replies",
  domain: "software_development", 
  complexity_score: 8
}

Team Configuration

• Simple Problems (1-3): 3-5 members, core roles
• Medium Problems (4-6): 6-8 members, core + supporting roles
• Complex Problems (7-10): 9-12 members, full professional team

Priority Management

Use Eisenhower Matrix for task prioritization:

• Urgent & Important: Immediate action
• Important & Not Urgent: Planned execution
• Urgent & Not Important: Delegate or automate
• Not Urgent & Not Important: Eliminate or postpone

📊 Performance Metrics

Efficiency Improvements

• Team Expansion: Up to 30 members for complex tasks
• Parallel Processing: 2.5x efficiency improvement target
• Quality Assurance: Multi-dimensional scoring system
• Iteration Optimization: Reflection-based continuous improvement

Resource Allocation

• Capability-based: Workload distribution based on role capabilities
• Conflict Avoidance: Prevent resource conflicts
• Dynamic Load Balancing: Real-time workload adjustment

🧪 Testing and Debugging

Development Mode

npm run dev

Debug Logging

NODE_ENV=development npm start

Test Commands

# Basic functionality test
npm test

# Integration test
npm run test:integration

# Performance test
npm run test:performance

🤝 Community and Support

Getting Help

• 📧 Email: your-email@example.com
• 🐛 Issue Reporting: GitHub Issues
• 📖 Documentation: Wiki
• 💬 Community: Discord

Contributing

• 🔧 Code Contributions: Follow our Contributing Guide
• 📝 Documentation: Help improve documentation
• 🐛 Bug Reports: Report issues with detailed information
• 💡 Feature Requests: Suggest new features

🗺️ Roadmap

Version 1.1

• Persistent storage support (PostgreSQL, MongoDB)
• Web dashboard interface
• RESTful API endpoints
• Role template marketplace

Version 1.2

• Machine learning-based role recommendations
• Advanced parallel processing algorithms
• Integration with external project management tools
• Multi-language support expansion

Version 2.0

• Distributed processing architecture
• Real-time collaboration features
• Advanced analytics and reporting
• Enterprise-grade security features

📄 License

MIT License - see LICENSE file for details

🎉 Congratulations! Your Problem Solving MCP Server is ready!

Start enjoying the power of intelligent problem solving! 🚀✨

🛠️ Quick Configuration

In Cursor

{
  "mcpServers": {
    "problem-solving": {
      "command": "node",
      "args": ["/path/to/problem-solving-mcp/dist/index.js"],
      "cwd": "/path/to/problem-solving-mcp",
      "env": {
        "NODE_ENV": "production"
      }
    }
  }
}

In Claude Desktop

{
  "mcpServers": {
    "problem-solving": {
      "command": "node", 
      "args": ["/path/to/problem-solving-mcp/dist/index.js"],
      "cwd": "/path/to/problem-solving-mcp",
      "env": {
        "NODE_ENV": "production"
      }
    }
  }
}

Note: Replace /path/to/problem-solving-mcp with your actual project path

⚙️ Configuration and Extension

Environment Variables

NODE_ENV=production          # Production mode
DEBUG_MODE=false            # Debug mode
MAX_TEAM_SIZE=30           # Maximum team size
PARALLEL_THRESHOLD=0.7     # Parallel processing threshold

Custom Role Types

// Extend role types in types.ts
export enum RoleType {
  // ... existing roles
  custom_specialist = 'custom_specialist'
}

🚀 Deployment and Operations

Production Deployment

# Build project
npm run build

# Start service
npm start

# Process management (PM2)
pm2 start dist/index.js --name problem-solving-mcp

Monitoring

• Health Checks: Service status monitoring
• Performance Metrics: Response time, success rate tracking
• Error Logging: Comprehensive error logging and alerting

Scaling

• Horizontal Scaling: Multiple service instances
• Load Balancing: Request distribution
• Resource Monitoring: CPU, memory usage tracking