# io.github.inity13/scenariosim-mcp

- Registry name: `io.github.inity13/scenariosim-mcp` · version 1.0.2
- Categories (automatic, keyword rules): Monitoring & logs, Infrastructure & security, Health & fitness, Marketing & SEO, Commerce & marketing
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.inity13%2Fscenariosim-mcp
- Server page: https://mcpstation.net/s/io.github.inity13--scenariosim-mcp.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

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

## Tools (as reported by the server, not verified)

- `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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html