Quality Dimension Generator

# Quality Dimension Generator [](https://opensource.org/licenses/MIT) [](https://www.typescriptlang.org/) [](https://modelcontextprotocol.io/) 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 ```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": ```json { "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](https://modelcontextprotocol.io/docs) - [Smithery MCP Registry](https://smithery.ai/) --- **Transform your work quality today!** 🚀