MCP server

Decisionmatrix

io.github.inity13/decisionmatrix-mcp

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

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

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

6

Token cost

About 1,669 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.decisionmatrix-mcp]
url = "https://decisionmatrix-mcp.pages.dev/mcp"

Gemini CLI

{"mcpServers":{"decisionmatrix-mcp":{"httpUrl":"https://decisionmatrix-mcp.pages.dev/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add decisionmatrix-mcp https://decisionmatrix-mcp.pages.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"decisionmatrix-mcp","server_url":"https://decisionmatrix-mcp.pages.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"decisionmatrix-mcp","server_url":"https://decisionmatrix-mcp.pages.dev/mcp"}

Tools

• compare_two ~377 tokens
  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_decision ~388 tokens
  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
• health_check ~42 tokens
  Server health, version, and capabilities. No parameters.
• list_methods ~74 tokens
  List the available scoring methods (weighted_sum, weighted_product, topsis) with descriptions, normalization details, score ranges, and when to use each. No parameters.
• score_options ~358 tokens
  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 ~430 tokens
  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.

Browse

• GitHub tools
• GitHub and code hosting

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