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io.github.inity13/scenariosim-mcp

io.github.inity13/scenariosim-mcp · v1.0.2

Measured by MCP Station

Last check	Reachable
Checked at	—
Check success 7 / 30 days	—
First-try success 30 days	—
Median response	—
Lookups 30 days	—
Authentication	No auth
MCP version	2025-06-18
Rank score	—
Declared risk	Not declared (tools carry no read/destructive hints)
Capabilities declared	tools
Tool definitions	6 tools · with description 100% · input schema is an object 100% · read/destructive hints 0%

Description written by the publisher, not verified

Deterministic what-if & scenario simulation for AI agents: projections, sensitivity & break-even.

Connect

streamable-http · https://scenariosim-mcp.pages.dev/mcp

claude mcp add --transport http scenariosim-mcp https://scenariosim-mcp.pages.dev/mcp

{
  "mcpServers": {
    "scenariosim-mcp": {
      "url": "https://scenariosim-mcp.pages.dev/mcp"
    }
  }
}

Tools as reported by the server

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, headli
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
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 sea
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 'g
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.
health_check
Server health, version, and capabilities (tools, templates, period labels, max horizon). No parameters.

Repository · JSON · Text for agents · Registry updated 2026-08-12