# io.github.inity13/decisionmatrix-mcp

- Registry name: `io.github.inity13/decisionmatrix-mcp` · version 1.0.2
- Categories (automatic, keyword rules): Health & fitness
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.inity13%2Fdecisionmatrix-mcp
- Server page: https://mcpstation.net/s/io.github.inity13--decisionmatrix-mcp.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://decisionmatrix-mcp.pages.dev/mcp`

## Tools (as reported by the server, not verified)

- `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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html