Decisionmatrix MCP
Deterministic multi-criteria decision analysis for AI agents — score, rank & explain options.
Connector by inity13 · GitHub account verified by the MCP Registry
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Install
Works with Claude Code, VS Code, Codex, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/inity13-decisionmatrix-mcp
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Remote endpoint
https://decisionmatrix-mcp.pages.dev/mcpRemote (HTTP)
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About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this server can do and what it asks for, from its tool list, install config and code. Checked Nov 1, 2026.
- Tools
- 4 read · 1 write · 0 delete · 1 not yet classified
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Node.js package
Tools by what they do 6
From the running server's own tool list (tools/list) on Oct 25, 2026.
Read 4 · Look things up without changing anything.
compare_twohealth_checklist_methodsscore_options
Write 1 · Create, change, send or run things.
create_decision
Not yet classified 1 · We could not tell from the name and description.
sensitivity_analysis
Network hosts it talks to 4
api.stripe.com· found in codedecisionmatrix-mcp.pages.dev· found in remote endpoint, install command, codegithub.com· found in codeglama.ai· found in code
Tools (6)
As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].
compare_twoDirect 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_decisionRank 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_checkServer health, version, and capabilities. No parameters.
list_methodsList the available scoring methods (weighted_sum, weighted_product, topsis) with descriptions, normalization details, score ranges, and when to use each. No parameters.
score_optionsScore 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_analysisTest 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.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit
- Oct 20, 2026 (16 days ago)
- Last release
- Aug 12, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Registry name
io.github.inity13/decisionmatrix-mcp- Version
- 1.0.2
- Auth
- Auth not stated
- Packages
- npm decisionmatrix-mcp
- License
- MIT
- Repository
- github.com/inity13/decisionmatrix-mcp
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Cite this page
Decisionmatrix MCP. Agent Mart. https://agentmart.dev/connectors/inity13-decisionmatrix-mcp (last updated 2026-10-24)