magenie33-quality-dimension-generator
RemoteAbout magenie33-quality-dimension-generator
An MCP server that turns task descriptions into measurable quality criteria and scoring targets. It guides software, writing, project, and research work with task analysis followed by generated evaluation standards.
Key features
- 01Task analysis prompt generation
- 02Quality dimension generation
- 03Measurable scoring criteria
- 04Expected score targets
Use cases
- 01Set standards for code and testing
- 02Define writing quality criteria
- 03Specify project deliverable expectations
- 04Establish research evaluation criteria
MCP support
Provides tools that generate a task-analysis prompt and then a quality-dimensions prompt from the analysis.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://server.smithery.ai/@magenie33/quality-dimension-generator/mcpclaude mcp add --transport http ai-smithery-magenie33-quality-dimension-generator https://server.smithery.ai/@magenie33/quality-dimension-generator/mcp{"mcpServers":{"ai-smithery-magenie33-quality-dimension-generator":{"type":"http","url":"https://server.smithery.ai/@magenie33/quality-dimension-generator/mcp"}}}Open in Cursor{"servers":{"ai-smithery-magenie33-quality-dimension-generator":{"type":"http","url":"https://server.smithery.ai/@magenie33/quality-dimension-generator/mcp"}}}Open in VS Code{"mcpServers":{"ai-smithery-magenie33-quality-dimension-generator":{"type":"http","url":"https://server.smithery.ai/@magenie33/quality-dimension-generator/mcp"}}}{"mcpServers":{"ai-smithery-magenie33-quality-dimension-generator":{"serverUrl":"https://server.smithery.ai/@magenie33/quality-dimension-generator/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://server.smithery.ai/@magenie33/quality-dimension-generator/mcpAuth requiredTools
Details
From the project READMEQuality 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
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
Transform your work quality today! 🚀
Comments
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