Scenariosim MCP server

• break_evenFree

  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.

• compare_scenarioswrite actionFree

  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.

• health_checkFree

  Server health, version, and capabilities (tools, templates, period labels, max horizon). No parameters.

• list_templatesFree

  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.

• run_scenariowrite actionFree

  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).

• sensitivity_analysisFree

  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.

• Code scan3 source files scanned25/25
• Live reliabilityremote reachable in 206ms20/20
• Tool poisoning6 tool descriptions checked15/15
• Auth qualityopen endpoint exposes 2 write-action tools with no auth3/15
• Maintenancelast push 42 days ago12/15
• Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Scenariosim: common questions

Is Scenariosim MCP server safe?

Mostly: it is graded B (83/100). Read the Scenariosim safety report

How do I install Scenariosim?

It runs remotely at scenariosim-mcp.pages.dev. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.

Does Scenariosim need an API key?

Not as far as the registry entry and our scan can tell: no credentials are declared or required.

Is Scenariosim maintained?

The last commit was 43 days ago (2026-08-12). The latest release is v1.0.2.

Is Scenariosim up?

100% of our last 20 checks got an answer. We check remote servers about four times a day.