{"server":"io.github.inity13/agentstack-mcp","count":24,"tools":[{"name":"calc_business_days","title":null,"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.","input_schema":{"type":"object","required":["operation","start_date"],"properties":{"days":{"type":"integer"},"region":{"type":"string"},"end_date":{"type":"string"},"operation":{"type":"string"},"start_date":{"type":"string"},"custom_holidays":{"type":"array","items":{"type":"string"}}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"calc_compound_growth","title":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.","input_schema":{"type":"object","required":["operation"],"properties":{"rate":{"type":"number"},"years":{"type":"number"},"currency":{"type":"string"},"end_value":{"type":"number"},"operation":{"type":"string"},"begin_value":{"type":"number"},"compounding":{"type":"string"},"future_value":{"type":"number"},"present_value":{"type":"number"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"calc_currency_convert","title":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.","input_schema":{"type":"object","required":["amount","from_currency","to_currency"],"properties":{"date":{"type":"string"},"live":{"type":"boolean"},"amount":{"type":"number"},"to_currency":{"type":"string"},"from_currency":{"type":"string"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"calc_depreciation","title":null,"description":"COMPUTE. Asset depreciation schedule. method: straight_line | declining_balance | sum_of_years_digits.","input_schema":{"type":"object","required":["method","cost","salvage_value","useful_life_years"],"properties":{"cost":{"type":"number"},"method":{"type":"string"},"currency":{"type":"string"},"salvage_value":{"type":"number"},"useful_life_years":{"type":"integer"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"calc_irr","title":null,"description":"COMPUTE. Internal Rate of Return: per-period rate where NPV=0 (Newton + bisection). Requires a sign change in cashflows.","input_schema":{"type":"object","required":["cashflows"],"properties":{"guess":{"type":"number"},"cashflows":{"type":"array","items":{"type":"number"}}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"calc_list_metrics","title":null,"description":"COMPUTE. List every supported metric with descriptions and required/optional params. No parameters.","input_schema":{"type":"object","properties":{}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"calc_loan_amortization","title":null,"description":"COMPUTE. Level-payment loan: monthly payment, total interest, payoff, and (optional) full schedule.","input_schema":{"type":"object","required":["principal","annual_rate","term_months"],"properties":{"currency":{"type":"string"},"principal":{"type":"number"},"annual_rate":{"type":"number"},"term_months":{"type":"integer"},"extra_payment":{"type":"number"},"include_schedule":{"type":"boolean"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"calc_metric","title":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.","input_schema":{"type":"object","required":["metric","params"],"properties":{"metric":{"type":"string"},"params":{"type":"object"},"currency":{"type":"string"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"calc_npv","title":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).","input_schema":{"type":"object","required":["rate","cashflows"],"properties":{"rate":{"type":"number"},"currency":{"type":"string"},"cashflows":{"type":"array","items":{"type":"number"}}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"decide","title":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.","input_schema":{"type":"object","required":["options","criteria","scores"],"properties":{"method":{"type":"string"},"scores":{"type":"object"},"options":{"type":"array"},"criteria":{"type":"array"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"decide_compare_two","title":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.","input_schema":{"type":"object","required":["criteria","scores"],"properties":{"method":{"type":"string"},"scores":{"type":"object"},"options":{"type":"array"},"criteria":{"type":"array"},"option_a":{"type":"string"},"option_b":{"type":"string"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"decide_list_methods","title":null,"description":"DECIDE. List the scoring methods (weighted_sum, weighted_product, topsis) with normalization details and when to use each. No parameters.","input_schema":{"type":"object","properties":{}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"decide_score","title":null,"description":"DECIDE. Return the full normalized scored matrix (per-option, per-criterion) + ranking when scores are supplied separately, without the winner narrative.","input_schema":{"type":"object","required":["options","criteria","scores"],"properties":{"method":{"type":"string"},"scores":{"type":"object"},"options":{"type":"array"},"criteria":{"type":"array"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"decide_sensitivity","title":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.","input_schema":{"type":"object","required":["options","criteria","scores"],"properties":{"steps":{"type":"integer"},"method":{"type":"string"},"scores":{"type":"object"},"options":{"type":"array"},"criteria":{"type":"array"},"variation":{"type":"number"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"evaluate_options_with_scenarios","title":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.","input_schema":{"type":"object","required":["options","criteria"],"properties":{"inputs":{"type":"object"},"method":{"type":"string"},"horizon":{"type":"integer"},"options":{"type":"array","items":{"type":"object"}},"criteria":{"type":"array","items":{"type":"object"}},"template":{"type":"string"},"period_label":{"type":"string"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"health_check","title":null,"description":"Aggregated health/status for the whole stack (all three engines + composites). No parameters.","input_schema":{"type":"object","properties":{}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"list_capabilities","title":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.","input_schema":{"type":"object","properties":{}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"plan_to_valuation","title":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.","input_schema":{"type":"object","required":["template","cashflow_metric","rate"],"properties":{"rate":{"type":"number"},"inputs":{"type":"object"},"horizon":{"type":"integer"},"metrics":{"type":"array","items":{"type":"object"}},"currency":{"type":"string"},"template":{"type":"string"},"period_label":{"type":"string"},"cashflow_metric":{"type":"string"},"initial_investment":{"type":"number"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"sim_break_even","title":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'.","input_schema":{"type":"object","required":["template","solve_for","target_value"],"properties":{"bounds":{"type":"array","items":{"type":"number"}},"inputs":{"type":"object"},"horizon":{"type":"integer"},"template":{"type":"string"},"solve_for":{"type":"string"},"period_label":{"type":"string"},"target_value":{"type":"number"},"target_metric":{"type":"string"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"sim_compare","title":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.","input_schema":{"type":"object","required":["scenarios"],"properties":{"goal":{"type":"string"},"horizon":{"type":"integer"},"scenarios":{"type":"array","items":{"type":"object"}},"compare_metric":{"type":"string"},"include_projections":{"type":"boolean"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"sim_list_templates","title":null,"description":"SIMULATE. List every scenario template (inputs, defaults, outputs) plus the custom-model format and period labels. No parameters.","input_schema":{"type":"object","properties":{}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"sim_run","title":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.","input_schema":{"type":"object","properties":{"inputs":{"type":"object"},"horizon":{"type":"integer"},"metrics":{"type":"array","items":{"type":"object"}},"template":{"type":"string"},"period_label":{"type":"string"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"sim_sensitivity","title":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').","input_schema":{"type":"object","required":["template"],"properties":{"max":{"type":"number"},"min":{"type":"number"},"steps":{"type":"integer"},"inputs":{"type":"object"},"values":{"type":"array","items":{"type":"number"}},"horizon":{"type":"integer"},"template":{"type":"string"},"variable":{"type":"string"},"variables":{"type":"array","items":{"type":"object"}},"variation":{"type":"number"},"period_label":{"type":"string"},"target_metric":{"type":"string"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"},{"name":"stress_test_decision","title":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}.","input_schema":{"type":"object","required":["options","criteria","stress"],"properties":{"inputs":{"type":"object"},"method":{"type":"string"},"stress":{"type":"object"},"horizon":{"type":"integer"},"options":{"type":"array","items":{"type":"object"}},"criteria":{"type":"array","items":{"type":"object"}},"template":{"type":"string"},"period_label":{"type":"string"}}},"output_schema":null,"annotations":null,"source":"probe","observed_at":"2026-10-19T09:09:28.183Z"}],"next_cursor":null,"next_actions":[{"action":"get_connection","description":"Connection block to call these tools","href":"/v1/servers/io.github.inity13%2Fagentstack-mcp/connection?target=mcpServers","arguments":{"name":"io.github.inity13/agentstack-mcp","target":"mcpServers"}},{"action":"get_server","description":"Full descriptor with trust and connectability","href":"/v1/servers/io.github.inity13%2Fagentstack-mcp","arguments":{"name":"io.github.inity13/agentstack-mcp"}}]}