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@gongrzhe/server-decision-matrix

v1.0.0

Published

Decision Matrix MCP App Server with weighted scoring for comparing options

Readme

Decision Matrix MCP Server

Weighted scoring matrix for comparing options with adjustable criteria, ranked results, and winner highlighting.

Features

  • Weighted Criteria Scoring - Assign importance weights to evaluation criteria and automatically normalize them
  • Multi-Option Comparison - Compare unlimited options across all criteria simultaneously
  • Automatic Ranking - Options are ranked by total weighted score with clear position indicators
  • Winner Highlighting - The top-ranked option is automatically identified and highlighted
  • Normalized Analysis - Detailed breakdown showing criteria weights, individual scores, and weighted calculations
  • Interactive UI - Visual decision matrix interface embedded in Claude

Installation

npm install @gongrzhe/server-decision-matrix

Usage

As a CLI

npx @gongrzhe/server-decision-matrix

Claude Desktop Configuration

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "decision-matrix": {
      "command": "npx",
      "args": ["-y", "@gongrzhe/server-decision-matrix"]
    }
  }
}

Claude Code Configuration

claude mcp add decision-matrix -- npx -y @gongrzhe/server-decision-matrix

Tools

evaluate-matrix

Evaluates a weighted decision matrix by normalizing criteria weights, computing weighted scores for each option, and ranking them.

Input:

  • criteria (array) - List of criteria with names and weights (1-10)
  • options (array) - List of options with scores for each criterion (1-10)

Output:

  • Normalized criteria weights
  • Scored options with individual and weighted scores
  • Ranked list of options by total score
  • Winner identification
  • Detailed analysis text

Example Prompt

Compare MacBook Pro, ThinkPad X1, and Dell XPS on the following criteria:
- Performance (weight 9)
- Battery Life (weight 7)
- Build Quality (weight 8)
- Price (weight 6)

Score each laptop 1-10 for each criterion.

License

MIT