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agentstack-mcp

io.github.inity13/agentstack-mcp

Deterministic reasoning stack for AI agents: simulate, decide & compute, plus cross-domain tools.

This endpoint completed initialize and tools/list. No tool was called.

Rank
#5242
Score
80
Tool tokens
2,640
Tools
24

Tools

Token cost is the o200k count of the tools list JSON, including schemas, before any tool is called. Showing 12 of 24.

  • list_capabilities

    Discovery: the three namespaces (sim_*, decide_*, calc_*), the cross-domain composite tools, the available ?profile= filters, and links to the standalone servers. Call this first to see everything Age

  • health_check

    Aggregated health/status for the whole stack (all three engines + composites). No parameters.

  • sim_run

    SIMULATE. Deterministic what-if projection from a template (saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth) or a

  • sim_sensitivity

    SIMULATE. Vary one or more scenario inputs and show the impact on a target output metric (one-at-a-time), with elasticity + most-influential ranking. Requires 'template' and 'variable' (or 'variables'

  • sim_break_even

    SIMULATE. Solve for the scenario input value required to make an output metric hit a target value (deterministic bisection). Requires 'template', 'solve_for', 'target_value'.

  • sim_compare

    SIMULATE. Run 2-3 scenarios and compare their key_results side by side with deltas vs the first (baseline). Optional 'compare_metric' + 'goal' (max|min) picks a winner.

  • sim_list_templates

    SIMULATE. List every scenario template (inputs, defaults, outputs) plus the custom-model format and period labels. No parameters.

  • decide

    DECIDE. Rank named options against weighted criteria and return the winner, full ranking, per-criterion breakdowns, methodology, weights, and an explanation. Provide options, criteria [{name, weight,

  • decide_score

    DECIDE. Return the full normalized scored matrix (per-option, per-criterion) + ranking when scores are supplied separately, without the winner narrative.

  • decide_sensitivity

    DECIDE. Test how robust the decision winner is to changes in CRITERIA WEIGHTS (distinct from sim_sensitivity, which varies scenario inputs). Sweeps each weight +/-variation and reports a robustness sc

  • decide_compare_two

    DECIDE. Head-to-head comparison of exactly two options with per-criterion win counts and margin. Pass option_a/option_b (or a 2-element options array), criteria, and scores.

  • decide_list_methods

    DECIDE. List the scoring methods (weighted_sum, weighted_product, topsis) with normalization details and when to use each. No parameters.

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