Server definition

Hash: sha256:78abd7329fbe52044c035849909d2467e07be93302789de8e701c7a9b3ec68fb
What it is: What a remote MCP server returned when asked what it offers: 24 tools

The blob, as servednamed by its sha256

{
  "instructions": null,
  "tools": [
    {
      "description": "COMPUTE. Business-day arithmetic honoring weekends + regional holidays. operation: add_business_days | count_business_days | next_business_day | previous_business_day. region: US | UK | EU | NONE.",
      "inputSchema": {
        "properties": {
          "custom_holidays": {
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "days": {
            "type": "integer"
          },
          "end_date": {
            "type": "string"
          },
          "operation": {
            "type": "string"
          },
          "region": {
            "type": "string"
          },
          "start_date": {
            "type": "string"
          }
        },
        "required": [
          "operation",
          "start_date"
        ],
        "type": "object"
      },
      "name": "calc_business_days",
      "outputSchema": null
    },
    {
      "description": "COMPUTE. Compound-interest/growth math. operation: future_value | present_value | cagr. rate is annual decimal; compounding: daily|weekly|monthly|quarterly|semiannually|annually|continuous.",
      "inputSchema": {
        "properties": {
          "begin_value": {
            "type": "number"
          },
          "compounding": {
            "type": "string"
          },
          "currency": {
            "type": "string"
          },
          "end_value": {
            "type": "number"
          },
          "future_value": {
            "type": "number"
          },
          "operation": {
            "type": "string"
          },
          "present_value": {
            "type": "number"
          },
          "rate": {
            "type": "number"
          },
          "years": {
            "type": "number"
          }
        },
        "required": [
          "operation"
        ],
        "type": "object"
      },
      "name": "calc_compound_growth",
      "outputSchema": null
    },
    {
      "description": "COMPUTE. Convert between major currencies (USD, EUR, GBP, JPY, CAD, AUD, CHF, CNY, INR) with Decimal precision. Static offline table by default; live/historical ECB rates via date/live=true.",
      "inputSchema": {
        "properties": {
          "amount": {
            "type": "number"
          },
          "date": {
            "type": "string"
          },
          "from_currency": {
            "type": "string"
          },
          "live": {
            "type": "boolean"
          },
          "to_currency": {
            "type": "string"
          }
        },
        "required": [
          "amount",
          "from_currency",
          "to_currency"
        ],
        "type": "object"
      },
      "name": "calc_currency_convert",
      "outputSchema": null
    },
    {
      "description": "COMPUTE. Asset depreciation schedule. method: straight_line | declining_balance | sum_of_years_digits.",
      "inputSchema": {
        "properties": {
          "cost": {
            "type": "number"
          },
          "currency": {
            "type": "string"
          },
          "method": {
            "type": "string"
          },
          "salvage_value": {
            "type": "number"
          },
          "useful_life_years": {
            "type": "integer"
          }
        },
        "required": [
          "method",
          "cost",
          "salvage_value",
          "useful_life_years"
        ],
        "type": "object"
      },
      "name": "calc_depreciation",
      "outputSchema": null
    },
    {
      "description": "COMPUTE. Internal Rate of Return: per-period rate where NPV=0 (Newton + bisection). Requires a sign change in cashflows.",
      "inputSchema": {
        "properties": {
          "cashflows": {
            "items": {
              "type": "number"
            },
            "type": "array"
          },
          "guess": {
            "type": "number"
          }
        },
        "required": [
          "cashflows"
        ],
        "type": "object"
      },
      "name": "calc_irr",
      "outputSchema": null
    },
    {
      "description": "COMPUTE. List every supported metric with descriptions and required/optional params. No parameters.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "calc_list_metrics",
      "outputSchema": null
    },
    {
      "description": "COMPUTE. Level-payment loan: monthly payment, total interest, payoff, and (optional) full schedule.",
      "inputSchema": {
        "properties": {
          "annual_rate": {
            "type": "number"
          },
          "currency": {
            "type": "string"
          },
          "extra_payment": {
            "type": "number"
          },
          "include_schedule": {
            "type": "boolean"
          },
          "principal": {
            "type": "number"
          },
          "term_months": {
            "type": "integer"
          }
        },
        "required": [
          "principal",
          "annual_rate",
          "term_months"
        ],
        "type": "object"
      },
      "name": "calc_loan_amortization",
      "outputSchema": null
    },
    {
      "description": "COMPUTE. Exact business/SaaS/finance metric: ltv, cac, ltv_cac_ratio, payback_period_months, contribution_margin, gross_margin, churn_rate, mrr_growth_rate, arr, break_even_units, nrr, grr, rule_of_40, magic_number. Rates/margins are decimals (0.05=5%). Call calc_list_metrics for schemas.",
      "inputSchema": {
        "properties": {
          "currency": {
            "type": "string"
          },
          "metric": {
            "type": "string"
          },
          "params": {
            "type": "object"
          }
        },
        "required": [
          "metric",
          "params"
        ],
        "type": "object"
      },
      "name": "calc_metric",
      "outputSchema": null
    },
    {
      "description": "COMPUTE. Net Present Value (discounted cash flow). NPV = sum(CF_t/(1+rate)^t); cashflows[0] is period 0 (usually the negative outlay).",
      "inputSchema": {
        "properties": {
          "cashflows": {
            "items": {
              "type": "number"
            },
            "type": "array"
          },
          "currency": {
            "type": "string"
          },
          "rate": {
            "type": "number"
          }
        },
        "required": [
          "rate",
          "cashflows"
        ],
        "type": "object"
      },
      "name": "calc_npv",
      "outputSchema": null
    },
    {
      "description": "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, direction}], and a scores matrix. method: weighted_sum (default) | weighted_product | topsis.",
      "inputSchema": {
        "properties": {
          "criteria": {
            "type": "array"
          },
          "method": {
            "type": "string"
          },
          "options": {
            "type": "array"
          },
          "scores": {
            "type": "object"
          }
        },
        "required": [
          "options",
          "criteria",
          "scores"
        ],
        "type": "object"
      },
      "name": "decide",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "properties": {
          "criteria": {
            "type": "array"
          },
          "method": {
            "type": "string"
          },
          "option_a": {
            "type": "string"
          },
          "option_b": {
            "type": "string"
          },
          "options": {
            "type": "array"
          },
          "scores": {
            "type": "object"
          }
        },
        "required": [
          "criteria",
          "scores"
        ],
        "type": "object"
      },
      "name": "decide_compare_two",
      "outputSchema": null
    },
    {
      "description": "DECIDE. List the scoring methods (weighted_sum, weighted_product, topsis) with normalization details and when to use each. No parameters.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "decide_list_methods",
      "outputSchema": null
    },
    {
      "description": "DECIDE. Return the full normalized scored matrix (per-option, per-criterion) + ranking when scores are supplied separately, without the winner narrative.",
      "inputSchema": {
        "properties": {
          "criteria": {
            "type": "array"
          },
          "method": {
            "type": "string"
          },
          "options": {
            "type": "array"
          },
          "scores": {
            "type": "object"
          }
        },
        "required": [
          "options",
          "criteria",
          "scores"
        ],
        "type": "object"
      },
      "name": "decide_score",
      "outputSchema": null
    },
    {
      "description": "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 score + flip points.",
      "inputSchema": {
        "properties": {
          "criteria": {
            "type": "array"
          },
          "method": {
            "type": "string"
          },
          "options": {
            "type": "array"
          },
          "scores": {
            "type": "object"
          },
          "steps": {
            "type": "integer"
          },
          "variation": {
            "type": "number"
          }
        },
        "required": [
          "options",
          "criteria",
          "scores"
        ],
        "type": "object"
      },
      "name": "decide_sensitivity",
      "outputSchema": null
    },
    {
      "description": "COMPOSITE (simulate -> decide). Project each option as its own scenario, then rank the options against weighted criteria drawn from the scenario OUTCOMES. Provide a base 'template', an 'options' array ([{name, inputs}]), and 'criteria' ([{metric, weight, direction}]) where each metric is a scenario key_result. Combines ScenarioSim + DecisionMatrix.",
      "inputSchema": {
        "properties": {
          "criteria": {
            "items": {
              "type": "object"
            },
            "type": "array"
          },
          "horizon": {
            "type": "integer"
          },
          "inputs": {
            "type": "object"
          },
          "method": {
            "type": "string"
          },
          "options": {
            "items": {
              "type": "object"
            },
            "type": "array"
          },
          "period_label": {
            "type": "string"
          },
          "template": {
            "type": "string"
          }
        },
        "required": [
          "options",
          "criteria"
        ],
        "type": "object"
      },
      "name": "evaluate_options_with_scenarios",
      "outputSchema": null
    },
    {
      "description": "Aggregated health/status for the whole stack (all three engines + composites). No parameters.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "health_check",
      "outputSchema": null
    },
    {
      "description": "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 AgentStack exposes. No parameters.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "list_capabilities",
      "outputSchema": null
    },
    {
      "description": "COMPOSITE (simulate -> compute). Project a scenario, take a per-period cash-flow line from its projections ('cashflow_metric', e.g. 'mrr' or 'net_burn'), and value it exactly: NPV at a discount 'rate', IRR, and undiscounted total. Optional 'initial_investment' becomes the period-0 outflow (needed for IRR). Combines ScenarioSim + PrecisionCalc.",
      "inputSchema": {
        "properties": {
          "cashflow_metric": {
            "type": "string"
          },
          "currency": {
            "type": "string"
          },
          "horizon": {
            "type": "integer"
          },
          "initial_investment": {
            "type": "number"
          },
          "inputs": {
            "type": "object"
          },
          "metrics": {
            "items": {
              "type": "object"
            },
            "type": "array"
          },
          "period_label": {
            "type": "string"
          },
          "rate": {
            "type": "number"
          },
          "template": {
            "type": "string"
          }
        },
        "required": [
          "template",
          "cashflow_metric",
          "rate"
        ],
        "type": "object"
      },
      "name": "plan_to_valuation",
      "outputSchema": null
    },
    {
      "description": "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'.",
      "inputSchema": {
        "properties": {
          "bounds": {
            "items": {
              "type": "number"
            },
            "type": "array"
          },
          "horizon": {
            "type": "integer"
          },
          "inputs": {
            "type": "object"
          },
          "period_label": {
            "type": "string"
          },
          "solve_for": {
            "type": "string"
          },
          "target_metric": {
            "type": "string"
          },
          "target_value": {
            "type": "number"
          },
          "template": {
            "type": "string"
          }
        },
        "required": [
          "template",
          "solve_for",
          "target_value"
        ],
        "type": "object"
      },
      "name": "sim_break_even",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "properties": {
          "compare_metric": {
            "type": "string"
          },
          "goal": {
            "type": "string"
          },
          "horizon": {
            "type": "integer"
          },
          "include_projections": {
            "type": "boolean"
          },
          "scenarios": {
            "items": {
              "type": "object"
            },
            "type": "array"
          }
        },
        "required": [
          "scenarios"
        ],
        "type": "object"
      },
      "name": "sim_compare",
      "outputSchema": null
    },
    {
      "description": "SIMULATE. List every scenario template (inputs, defaults, outputs) plus the custom-model format and period labels. No parameters.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "sim_list_templates",
      "outputSchema": null
    },
    {
      "description": "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 free-form 'metrics' model. Returns per-period projections, key_results, assumptions_used, methodology, and an explanation.",
      "inputSchema": {
        "properties": {
          "horizon": {
            "type": "integer"
          },
          "inputs": {
            "type": "object"
          },
          "metrics": {
            "items": {
              "type": "object"
            },
            "type": "array"
          },
          "period_label": {
            "type": "string"
          },
          "template": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "sim_run",
      "outputSchema": null
    },
    {
      "description": "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').",
      "inputSchema": {
        "properties": {
          "horizon": {
            "type": "integer"
          },
          "inputs": {
            "type": "object"
          },
          "max": {
            "type": "number"
          },
          "min": {
            "type": "number"
          },
          "period_label": {
            "type": "string"
          },
          "steps": {
            "type": "integer"
          },
          "target_metric": {
            "type": "string"
          },
          "template": {
            "type": "string"
          },
          "values": {
            "items": {
              "type": "number"
            },
            "type": "array"
          },
          "variable": {
            "type": "string"
          },
          "variables": {
            "items": {
              "type": "object"
            },
            "type": "array"
          },
          "variation": {
            "type": "number"
          }
        },
        "required": [
          "template"
        ],
        "type": "object"
      },
      "name": "sim_sensitivity",
      "outputSchema": null
    },
    {
      "description": "COMPOSITE (simulate x decide). Take an options-vs-scenarios decision and stress ONE scenario assumption across a range applied to every option; report how often the baseline winner survives (robustness) and where it flips. Same args as evaluate_options_with_scenarios plus 'stress': {variable, variation, steps}.",
      "inputSchema": {
        "properties": {
          "criteria": {
            "items": {
              "type": "object"
            },
            "type": "array"
          },
          "horizon": {
            "type": "integer"
          },
          "inputs": {
            "type": "object"
          },
          "method": {
            "type": "string"
          },
          "options": {
            "items": {
              "type": "object"
            },
            "type": "array"
          },
          "period_label": {
            "type": "string"
          },
          "stress": {
            "type": "object"
          },
          "template": {
            "type": "string"
          }
        },
        "required": [
          "options",
          "criteria",
          "stress"
        ],
        "type": "object"
      },
      "name": "stress_test_decision",
      "outputSchema": null
    }
  ]
}

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