decisionmatrix-mcp
io.github.inity13/decisionmatrix-mcp
Deterministic multi-criteria decision analysis for AI agents — score, rank & explain options.
This endpoint completed initialize and tools/list. No tool was called.
- Rank
- #3446
- Score
- 81
- Tool tokens
- 1,391
- Tools
- 6
Tools
Token cost is the o200k count of the tools list JSON, including schemas, before any tool is called.
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
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 explanat
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 repor
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 optio
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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