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io.github.inity13/decisionmatrix-mcp
io.github.inity13/decisionmatrix-mcp · v1.0.2
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | tools |
| Tool definitions | 6 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
Deterministic multi-criteria decision analysis for AI agents — score, rank & explain options.
Connect
streamable-http · https://decisionmatrix-mcp.pages.dev/mcp
claude mcp add --transport http decisionmatrix-mcp https://decisionmatrix-mcp.pages.dev/mcp{
"mcpServers": {
"decisionmatrix-mcp": {
"url": "https://decisionmatrix-mcp.pages.dev/mcp"
}
}
}Tools as reported by the server
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 weiscore_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.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.list_methodsList the available scoring methods (weighted_sum, weighted_product, topsis) with descriptions, normalization details, score ranges, and when to use each. No parameters.health_checkServer health, version, and capabilities. No parameters.
Repository · JSON · Text for agents · Registry updated 2026-08-12