DecisionMatrix MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PRICE_PRO | No | Stripe price ID for the Pro plan. Required only if you enable billing. | |
| PRO_DAILY | No | Daily API call limit for the Pro plan. Default is set in wrangler.toml. | |
| FREE_DAILY | No | Daily API call limit for the free tier. Default is set in wrangler.toml. | |
| PRICE_STARTER | No | Stripe price ID for the Starter plan. Required only if you enable billing. | |
| STARTER_DAILY | No | Daily API call limit for the Starter plan. Default is set in wrangler.toml. | |
| STRIPE_SECRET_KEY | No | Stripe secret key for billing. Required only if you enable billing on your own deployment. | |
| STRIPE_WEBHOOK_SECRET | No | Stripe webhook signing secret for subscription lifecycle events. Required only if you enable billing. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| create_decisionA | Rank named options against weighted criteria and return the winner, full ranking, per-criterion breakdowns, methodology, weights used, and a plain-language explanation. Main tool. method defaults to weighted_sum (also weighted_product, topsis). 100% deterministic. |
| score_optionsA | Score options against criteria when the score matrix is supplied separately. Returns the full normalized scored matrix + ranking, without the narrative winner explanation. |
| sensitivity_analysisA | Test how robust the winner is to criteria-weight changes. Sweeps each weight +/- 'variation' (default 0.2) over 'steps' (default 10), recomputes the ranking, and reports a robustness score, the criteria most likely to flip the result, and flip points. |
| compare_twoA | Head-to-head comparison of exactly two options. Returns the winner, score margin, how many criteria each option wins, and a per-criterion breakdown. Pass option_a/option_b (names) or a 2-element options array, plus criteria and scores. |
| list_methodsA | List scoring methods (weighted_sum, weighted_product, topsis) with normalization details, score ranges, and when to use each. |
| health_checkB | Server health, version, and capabilities. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Most tools are clearly distinct: create_decision is the main ranking tool, score_options is a stripped-down variant for when the score matrix is supplied separately, and sensitivity_analysis and compare_two serve specialized purposes. There is minor overlap between create_decision and score_options since both return rankings, but the descriptions help differentiate them.
All tools use snake_case, and most follow a verb_noun pattern (create_decision, score_options, compare_two, list_methods). sensitivity_analysis and health_check are noun-style rather than verb_noun, but the naming is still predictable and consistent in style.
With 6 tools, the server is well-scoped for a decision-analysis domain. Each tool serves a clear analytical or utility purpose, and there are no redundant or unnecessary additions.
The tool set covers the full decision-analysis workflow: creating decisions, scoring options, sensitivity testing, head-to-head comparison, method reference, and health checks. No obvious gaps exist for the stated purpose, as this appears to be a stateless analysis service rather than a persistent data store.