Quality Dimension Generator

An MCP server that generates quality evaluation standards for any task. Transform vague requirements into precise, measurable quality criteria with AI-powered analysis, ultimately improving your final work quality.

🎯 What It Does

• 📊 Analyzes your tasks - Understand what needs to be accomplished
• 🎯 Creates evaluation standards - Generate specific quality dimensions with scoring criteria
• 📈 Sets target scores - Define expected quality levels (e.g., 8/10)
• ✅ Guides execution - Help you complete tasks with clear quality standards

🚀 Quick Start

Installation

Install from the Smithery AI Model Context Protocol Registry:

🔗 [Get Quality Dimension Generator on Smithery](https://smithery.ai/server/@magenie33/quality-dimension-generator)

Basic Usage

Step 1: Generate task analysis

generate_task_analysis_prompt({
  userMessage: "Write a 1000-word article about AI"
})

Step 2: Generate quality standards

generate_quality_dimensions_prompt({
  taskAnalysisJson: "..." // JSON from step 1
})

Result: Get comprehensive quality evaluation criteria with target scores, then complete your task following those standards.

📋 Example Output

For the task "Write a technical blog post":

{
  "expectedScore": 8,
  "scoreCalculation": "Average of all 5 dimension scores",
  "dimensions": [
    {
      "name": "Technical Accuracy",
      "description": "Correctness and depth of technical content",
      "importance": "Ensures readers get reliable information",
      "scoring": {
        "10": "All technical details verified and comprehensive",
        "8": "Mostly accurate with minor gaps",
        "6": "Generally correct but lacks depth"
      }
    }
    // ... 4 more dimensions
  ]
}

💡 Use Cases

• Software Development - Code quality, testing, documentation standards
• Content Creation - Writing quality, SEO, engagement metrics
• Project Management - Deliverable criteria, timeline adherence
• Research - Methodology, accuracy, presentation standards

🤝 Contributing

Contributions welcome! This project is open source under the MIT License.

🔗 Resources

• Model Context Protocol Documentation
• Smithery MCP Registry

Transform your work quality today! 🚀