이 MCP로 할 수 있는 일
Runs deterministic business and financial what-if projections, scenario comparisons, sensitivity analyses, and break-even calculations.
기능
도구
6
도구
break_even
Solve for the input value required to make an output metric hit a target value (deterministic bisection root-finding). Provide 'template', 'solve_for' (the input to solve), 'target_metric' (defaults to the primary output), and 'target_value'. Optionally pass 'bounds' [low, high] to constrain the search. Returns the required input value, the change from baseline, the achieved metric, and the residual. Assumes the metric is monotonic in the solved input over the range.
입력 스키마
{'type': 'object', 'required': ['template', 'solve_for', 'target_value'], 'properties': {'bounds': {'type': 'array', 'items': {'type': 'number'}, 'description': 'Optional [low, high] search range for the solved input. Auto-derived + expanded if omitted.'}, 'inputs': {'type': 'object', 'description': 'Scenario assumptions as {name: value}. Which keys are valid depends on the template (call list_templates). Unlisted keys fall back to documented defaults; unknown keys are ignored and reported in notes. You may also pass assumptions at the top level.'}, 'horizon': {'type': 'integer', 'default': 12, 'description': 'Number of periods to project forward (1..1200). Default depends on template (usually 12).'}, 'template': {'type': 'string', 'description': "Pre-built scenario template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth (aliases like 'saas','pricing','runway','ltv' also resolve). Omit (or use 'custom') to run a free-form 'metrics' projection."}, 'solve_for': {'type': 'string', 'description': 'Name of the input variable to solve for.'}, 'period_label': {'enum': ['day', 'week', 'month', 'quarter', 'year'], 'type': 'string', 'default': 'month', 'description': 'Label for each period; also sets annualization (periods/year).'}, 'target_value': {'type': 'number', 'description': 'The value the target_metric should reach.'}, 'target_metric': {'type': 'string', 'description': "Output metric to hit (defaults to the template's primary output)."}}}
compare_scenarios
Run 2-3 scenarios and compare their key_results side by side, with deltas against the first (baseline) scenario. Provide a 'scenarios' array where each entry is {name?, template, inputs} (each may set its own horizon, or pass a shared top-level 'horizon'). Optionally rank on 'compare_metric' with 'goal' ('max' default | 'min') to pick a winner, and set include_projections:true to also return per-period series.
입력 스키마
{'type': 'object', 'required': ['scenarios'], 'properties': {'goal': {'enum': ['max', 'min'], 'type': 'string', 'default': 'max', 'description': 'Whether higher (max) or lower (min) is better for compare_metric.'}, 'horizon': {'type': 'integer', 'description': "Optional shared horizon applied to scenarios that don't set their own."}, 'scenarios': {'type': 'array', 'items': {'type': 'object', 'properties': {'name': {'type': 'string'}, 'inputs': {'type': 'object', 'description': 'Scenario assumptions as {name: value}. Which keys are valid depends on the template (call list_templates). Unlisted keys fall back to documented defaults; unknown keys are ignored and reported in notes. You may also pass assumptions at the top level.'}, 'horizon': {'type': 'integer', 'default': 12, 'description': 'Number of periods to project forward (1..1200). Default depends on template (usually 12).'}, 'metrics': {'type': 'array', 'items': {'type': 'object', 'required': ['name', 'start'], 'properties': {'mode': {'enum': ['compound', 'linear'], 'type': 'string', 'default': 'compound'}, 'name': {'type': 'string'}, 'start': {'type': 'number'}, 'growth_rate': {'type': 'number'}}}, 'description': "For a CUSTOM free-form scenario (template omitted or 'custom'): a list of independently-growing metrics. Each: {name, start, growth_rate (per period, default 0), mode: 'compound' (default) | 'linear'}."}, 'template': {'type': 'string', 'description': "Pre-built scenario template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth (aliases like 'saas','pricing','runway','ltv' also resolve). Omit (or use 'custom') to run a free-form 'metrics' projection."}, 'period_label': {'enum': ['day', 'week', 'month', 'quarter', 'year'], 'type': 'string', 'default': 'month', 'description': 'Label for each period; also sets annualization (periods/year).'}}}, 'description': '2-3 scenarios to compare. Each: {name?, template, inputs, horizon?, period_label?} or {name?, metrics:[...]} for a custom model.'}, 'compare_metric': {'type': 'string', 'description': 'Metric to rank scenarios on (optional).'}, 'include_projections': {'type': 'boolean', 'default': False, 'description': "Include each scenario's full per-period projections."}}}
health_check
Server health, version, and capabilities (tools, templates, period labels, max horizon). No parameters.
입력 스키마
{'type': 'object', 'properties': {}}
list_templates
Discovery tool: list every pre-built scenario template (id, label, category, description, primary output, documented inputs with defaults/units, and available output metrics), plus how to run a custom free-form scenario and the supported period labels. No required parameters.
입력 스키마
{'type': 'object', 'properties': {}}
run_scenario
Main simulation tool. Run a deterministic what-if projection from a pre-built 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 period-by-period projections, headline key_results, the exact assumptions used (with defaults filled in), the methodology, notes, and a plain-language explanation. Pass 'template' + 'inputs' (assumptions), plus optional 'horizon' and 'period_label'. 100% deterministic (40-digit decimal math).
입력 스키마
{'type': 'object', 'properties': {'inputs': {'type': 'object', 'description': 'Scenario assumptions as {name: value}. Which keys are valid depends on the template (call list_templates). Unlisted keys fall back to documented defaults; unknown keys are ignored and reported in notes. You may also pass assumptions at the top level.'}, 'horizon': {'type': 'integer', 'default': 12, 'description': 'Number of periods to project forward (1..1200). Default depends on template (usually 12).'}, 'metrics': {'type': 'array', 'items': {'type': 'object', 'required': ['name', 'start'], 'properties': {'mode': {'enum': ['compound', 'linear'], 'type': 'string', 'default': 'compound'}, 'name': {'type': 'string'}, 'start': {'type': 'number'}, 'growth_rate': {'type': 'number'}}}, 'description': "For a CUSTOM free-form scenario (template omitted or 'custom'): a list of independently-growing metrics. Each: {name, start, growth_rate (per period, default 0), mode: 'compound' (default) | 'linear'}."}, 'template': {'type': 'string', 'description': "Pre-built scenario template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth (aliases like 'saas','pricing','runway','ltv' also resolve). Omit (or use 'custom') to run a free-form 'metrics' projection."}, 'period_label': {'enum': ['day', 'week', 'month', 'quarter', 'year'], 'type': 'string', 'default': 'month', 'description': 'Label for each period; also sets annualization (periods/year).'}}}
sensitivity_analysis
Vary one or more input assumptions and show the impact on a target output metric (one-at-a-time sensitivity). Provide 'template', the input to sweep via 'variable' (or 'variables' array), and 'target_metric' (defaults to the template's primary output). Control the sweep with 'variation' (fractional +/- around the baseline, default 0.2), 'steps' (default 5), or explicit 'values' / 'min'+'max'. Returns per-variable sweeps, an elasticity estimate, the output range, and a ranking of the most influential inputs.
입력 스키마
{'type': 'object', 'required': ['template'], 'properties': {'max': {'type': 'number', 'description': "Sweep upper bound (with 'min')."}, 'min': {'type': 'number', 'description': "Sweep lower bound (with 'max')."}, 'steps': {'type': 'integer', 'default': 5, 'description': 'Number of sweep points per variable (2-200).'}, 'inputs': {'type': 'object', 'description': 'Scenario assumptions as {name: value}. Which keys are valid depends on the template (call list_templates). Unlisted keys fall back to documented defaults; unknown keys are ignored and reported in notes. You may also pass assumptions at the top level.'}, 'values': {'type': 'array', 'items': {'type': 'number'}, 'description': "Explicit sweep values for a single 'variable'."}, 'horizon': {'type': 'integer', 'default': 12, 'description': 'Number of periods to project forward (1..1200). Default depends on template (usually 12).'}, 'template': {'type': 'string', 'description': "Pre-built scenario template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth (aliases like 'saas','pricing','runway','ltv' also resolve). Omit (or use 'custom') to run a free-form 'metrics' projection."}, 'variable': {'type': 'string', 'description': 'A single input name to sweep.'}, 'variables': {'type': 'array', 'items': {'type': 'object', 'required': ['name'], 'properties': {'max': {'type': 'number'}, 'min': {'type': 'number'}, 'name': {'type': 'string'}, 'steps': {'type': 'integer'}, 'values': {'type': 'array', 'items': {'type': 'number'}}, 'variation': {'type': 'number'}}}, 'description': 'Multiple inputs to sweep (one at a time). Each: {name, variation?|values?|min?+max?, steps?}.'}, 'variation': {'type': 'number', 'default': 0.2, 'description': 'Fractional sweep around the baseline (0<v<=1). 0.2 = +/-20%.'}, 'period_label': {'enum': ['day', 'week', 'month', 'quarter', 'year'], 'type': 'string', 'default': 'month', 'description': 'Label for each period; also sets annualization (periods/year).'}, 'target_metric': {'type': 'string', 'description': "Output metric to track (see a template's 'outputs' via list_templates). Defaults to the template's primary output."}}}
기록
최근 도구 변경
추가됨
health_check
2026년 9월 17일 12:42 PM
추가됨
list_templates
2026년 9월 17일 12:42 PM
추가됨
compare_scenarios
2026년 9월 17일 12:42 PM
추가됨
break_even
2026년 9월 17일 12:42 PM
추가됨
sensitivity_analysis
2026년 9월 17일 12:42 PM
추가됨
run_scenario
2026년 9월 17일 12:42 PM
탐색
유사한 MCP 서버
synter-ads
io.github.Synter-Media-AI/synter-ads
Manages cross-platform advertising campaigns, audiences, tracking, creative, landing pages, campaign audits, technology intellige…
synter-ads
io.github.jshorwitz/synter-ads
Manages cross-platform advertising campaigns, audiences, tracking, creative, landing pages, campaign audits, technology intellige…
Stratalize Finance
com.stratalize/finance
Provides financial, macroeconomic, banking, credit, commodities, M&A, ESG, labor, and regulatory benchmarks for analysis and plan…
Stratalize Healthcare
com.stratalize/healthcare
Retired Stratalize server exposing benchmark, market intelligence, compliance, financial, healthcare, legal, real estate, and eco…
Stratalize Governance
com.stratalize/governance
Retired Stratalize server exposing benchmark, market intelligence, compliance, financial, healthcare, legal, real estate, and eco…
Stratalize Oracle
com.stratalize/oracle
Retired Stratalize server exposing benchmark, market intelligence, compliance, financial, healthcare, legal, real estate, and eco…
Stratalize Intelligence
com.stratalize/intelligence
Provides vendor, market, SaaS, workforce, government contract, public company, regulatory, competitive, and AI-brand intelligence…
Stratalize Real Estate
com.stratalize/realestate
Retired Stratalize server exposing benchmark, market intelligence, compliance, financial, healthcare, legal, real estate, and eco…