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
Basic Usage
Step 1: Generate task analysis ``javascript generate_task_analysis_prompt({ userMessage: "Write a 1000-word article about AI" }) ``
Step 2: Generate quality standards ``javascript 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
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Transform your work quality today! 🚀
