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  3. Magenie33 Quality Dimension Generator
Magenie33 Quality Dimension Generator logo
Health: ActiveRecent health check succeeded.Last checked 9/21/2026, 5:01:51 PM

Magenie33 Quality Dimension Generator

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View RepositoryVisit Website

Generate tailored quality criteria and scoring guides from your task descriptions. Refine objectiv…

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for magenie33-quality-dimension-generator, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
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Documentation Overview

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

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":

config.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
  • Smithery MCP Registry

Transform your work quality today! 🚀

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit
1y ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Magenie33 Quality Dimension Generator

We don't have a confirmed install command for magenie33-quality-dimension-generator yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/magenie33/quality-dimension-generator) for the current steps.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
Last updatedSep 22, 2025
12/12 checks healthy over the last 45d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1y ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 22, 2025
29Quality signal: Emerging · 29/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools12/30
Adoption & activity0/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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