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Decisionmatrix MCP server

by inity13·io.github.inity13/decisionmatrix-mcp·v1.0.2
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Deterministic multi-criteria decision analysis for AI agents — score, rank & explain options.

B83/100grade B
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Safety scan
B83/100

full report

Adoption
Growing

0 stars28 downloads/wk

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Decisionmatrix tools (6, 1 write)

write = sends, deletes, buys or posts
  • compare_twoFree

    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.

  • create_decisionwrite actionFree

    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 weighted_sum (also: weighted_product, topsis). 100% deterministic.

  • health_checkFree

    Server health, version, and capabilities. No parameters.

  • list_methodsFree

    List the available scoring methods (weighted_sum, weighted_product, topsis) with descriptions, normalization details, score ranges, and when to use each. No parameters.

  • score_optionsFree

    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_analysisFree

    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.

Public scan report

scanner v0.1.9 · 2026-09-23 · same rubric, same numbers if you re-run it

1 high
  • Code scan3 source files scanned25/25
  • Live reliabilityremote reachable in 228ms20/20
  • Tool poisoning6 tool descriptions checked15/15
  • Auth qualityopen endpoint exposes 1 write-action tools with no auth3/15
  • Maintenancelast push 42 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • highWrite-action tools reachable without authenticationauth.open-write
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

What the publisher says

From the Decisionmatrix repository's README, as published. We do not edit it. Read it on GitHub

DecisionMatrix MCP

A transparent, 100% deterministic Model Context Protocol (MCP) server that gives LLM agents a reliable multi-criteria decision analysis (MCDA) engine.

Agents are great at gathering options but unreliable at weighing them: they lose precision, apply inconsistent weights, and can't show their work. DecisionMatrix offloads the scoring to an exact, explainable engine. You provide options and weighted criteria (plus a score matrix); it returns a fully scored, ranked, and explained result — with per-criterion breakdowns, the methodology used, the weights applied, and a plain-language explanation.

Every number flows through decimal.js at 40-digit precision (never floats), so identical inputs always produce byte-identical output. The server is stateless — no database, no sessions.

🌐 Live hosted server (free, no install)

A public remote MCP server runs on Cloudflare's edge — point any Streamable-HTTP MCP client at it:

https://decisionmatrix-mcp.pages.dev/mcp
{ "mcpServers": { "decisionmatrix": {
    "type": "http", "url": "https://decisionmatrix-mcp.pages.dev/mcp" } } }

It runs in open mode on the free tier (no key, 15 calls/day per IP). Paid plans (Starter $12/mo · 5,000/day, Pro $39/mo · 50,000/day) are live via Stripe Checkout — buy a plan, get an API key instantly, and send it as X-API-Key. Self-host for unlimited calls with no keys. Landing page + pricing: .

What it does

Six tools, all returning a uniform, agent-parseable envelope:

Scoring methods

Each criterion has a direction: benefit (higher is better — quality, speed) or cost (lower is better — price, latency, risk). Weights are relative; they are normalized to sum to 1 internally.

Consistent response envelope

Every successful response contains: status, method, winner, ranking (with per-criterion breakdown), methodology, weightsused, inputsused, notes, and a natural-language explanation.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Install directly

claude mcp add --transport http decisionmatrix-mcp https://decisionmatrix-mcp.pages.dev/mcp
Add to Cursor

Decisionmatrix: common questions

Is Decisionmatrix MCP server safe?
Mostly: it is graded B (83/100). Read the Decisionmatrix safety report
How do I install Decisionmatrix?
It runs remotely at decisionmatrix-mcp.pages.dev. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Decisionmatrix need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Decisionmatrix maintained?
The last commit was 43 days ago (2026-08-12). The latest release is v1.0.2.
Is Decisionmatrix up?
100% of our last 20 checks got an answer. We check remote servers about four times a day.
What can I use instead of Decisionmatrix?
Servers from other publishers that do the same job: Namera MCP server, Sonar MCP server and ApexVol Options Analytics MCP server. Compare all Decisionmatrix alternatives.

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