Connect-MCP

io.github.inity13/scenariosim-mcp

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

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

MCPremotelocal · npmno credentialsAnalytics & marketingJobs & HR

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 95/100

What it does: 6 tools · 3 read, 1 write · Analytics & marketing, Knowledge & docs

Test call health_check: worked (1,047 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://scenariosim-mcp.pages.dev/mcp
Package
registry:   npm
identifier: scenariosim-mcp
version:    1.0.2
transport:  stdio

Tools

6 tools listed at last check
  • 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.

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