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ai.smithery/magenie33-quality-dimension-generator

Official registry Productivity

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

Source code Documentation

What can you do with ai.smithery/magenie33-quality-dimension-generator?

  • 📊 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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http magenie33-quality-dimension-generator 'https://server.smithery.ai/@magenie33/quality-dimension-generator/mcp' --header 'Authorization: <Bearer token for Smithery authentication>'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "magenie33-quality-dimension-generator": {
            "type": "http",
            "url": "https://server.smithery.ai/@magenie33/quality-dimension-generator/mcp",
            "headers": {
                "Authorization": "<Bearer token for Smithery authentication>"
            }
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Quality Dimension Generator
  2. 🎯 What It Does
  3. 🚀 Quick Start
  4. 📋 Example Output
  5. 💡 Use Cases
  6. 🤝 Contributing
  7. 🔗 Resources

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

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! 🚀

Frequently asked questions

What is ai.smithery/magenie33-quality-dimension-generator?

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

How do I install ai.smithery/magenie33-quality-dimension-generator?

It runs as a remote server. In Claude Code: claude mcp add --transport http magenie33-quality-dimension-generator 'https://server.smithery.ai/@magenie33/quality-dimension-generator/mcp' --header 'Authorization: <Bearer token for Smithery authentication>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does ai.smithery/magenie33-quality-dimension-generator need an API key?

Yes. It expects Authorization, which you set in its configuration.

Is ai.smithery/magenie33-quality-dimension-generator open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains ai.smithery/magenie33-quality-dimension-generator?

It is published by magenie33. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.