Quality Dimension Generator

License: MIT TypeScript MCP

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

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 ] }