Connect-MCP

io.github.inity13/decisionmatrix-mcp

io.github.inity13/decisionmatrix-mcp · v1.0.2

Deterministic multi-criteria decision analysis for AI agents — score, rank & explain options.

MCPremotelocal · npmno credentialsE-commerce

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 88/100

What it does: 6 tools · 3 read, 1 write · E-commerce

Test call health_check: worked (1,098 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +3
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://decisionmatrix-mcp.pages.dev/mcp
Package
registry:   npm
identifier: decisionmatrix-mcp
version:    1.0.2
transport:  stdio

Tools

6 tools listed at last check
  • create_decision Rank named options against weighted criteria and return the winner, full ranking, per-criterion score breakdowns, methodology, the weights used, and a plain-language explanation. This is the main tool. Provide options, criteria [{name, weight, direction}], and a scores matrix. method defaults to wei
  • score_options Score options against criteria when the score matrix is supplied separately. Returns the full normalized scored matrix (per-option, per-criterion) plus a ranking, without the narrative winner explanation. Use create_decision if you want a winner + explanation.
  • sensitivity_analysis Test how robust the winner is to changes in criteria weights. Sweeps each criterion's weight +/- 'variation' (default 0.2 = 20%) over 'steps' (default 10) increments, recomputes the ranking, and reports a robustness score, which criteria are most likely to flip the result, and the flip points.
  • compare_two Direct head-to-head comparison of exactly two options. Returns the winner, the score margin, how many criteria each option wins, and a per-criterion breakdown of who each criterion favours. Pass option_a and option_b (names) or a 2-element options array, plus criteria and scores.
  • list_methods List the available scoring methods (weighted_sum, weighted_product, topsis) with descriptions, normalization details, score ranges, and when to use each. No parameters.
  • health_check Server health, version, and capabilities. No parameters.

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Repository