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io.github.inity13/scenariosim-mcp

REMOTE · SCENARIOSIM-MCP.PAGES.DEV · 2 COMPONENTS · SCANNED AUG 20

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

+4 this week 66 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score →

Endpoint Security57
Transport & Reachability100
Schema Quality & AI Usability67
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1536 tokens (~256/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management30
  • Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · scenariosim-mcp.pages.dev

# add to Claude Code
claude mcp add --transport http inity13-scenariosim-mcp https://scenariosim-mcp.pages.dev/mcp
# ~/.codex/config.toml
[mcp_servers.inity13-scenariosim-mcp]
url = "https://scenariosim-mcp.pages.dev/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "inity13-scenariosim-mcp": {
      "type": "remote",
      "url": "https://scenariosim-mcp.pages.dev/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add inity13-scenariosim-mcp --url https://scenariosim-mcp.pages.dev/mcp --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  inity13-scenariosim-mcp:
    url: "https://scenariosim-mcp.pages.dev/mcp"
// mcp.json
{
  "mcpServers": {
    "inity13-scenariosim-mcp": {
      "type": "http",
      "url": "https://scenariosim-mcp.pages.dev/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

  • 18 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

  • 16 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

  • 14 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

  • 12 Aug 26 +1
    • Stability: unverified → 0.03 functional
  • 11 Aug 26 61

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Aug 2026 · Probed https://scenariosim-mcp.pages.dev/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=scenariosim-mcp.pages.dev CN=WE1,O=Google Trust Services,C=US 11 Aug 2026 9 Nov 2026 ECDSA 256 ECDSA-SHA256 a7821da95afa33e0e1e265a965d990c
SANs: scenariosim-mcp.pages.dev, *.scenariosim-mcp.pages.dev
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b
DNSSEC insecure

Validation of scenariosim-mcp.pages.dev. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
dev. present 60074 8 Verified
pages.dev. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://scenariosim-mcp.pages.dev/mcp Verified 200
http (plaintext) http://scenariosim-mcp.pages.dev/mcp HTTPS enforced 301 https://scenariosim-mcp.pages.dev/mcp
MCP tools · 6 exposed · ~1,536 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
break_even ~375

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.

NameTypeReqDescription
boundsarrayOptional [low, high] search range for the solved input. Auto-derived + expanded if omitted.
horizonintegerNumber of periods to project forward (1..1200). Default depends on template (usually 12).
inputsobjectScenario assumptions as {name: value}. Which keys are valid depends on the template (call list_templates). Unlisted keys fall back to documented defaults; unknown keys are ignored and reported in not…
period_labelstringLabel for each period; also sets annualization (periods/year).
solve_forstringyesName of the input variable to solve for.
target_metricstringOutput metric to hit (defaults to the template's primary output).
target_valuenumberyesThe value the target_metric should reach.
templatestringyesPre-built scenario template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth (aliases like 'saas','pricing','…

No output schema declared.

No examples provided.

compare_scenarios ~224

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.

NameTypeReqDescription
compare_metricstringMetric to rank scenarios on (optional).
goalstringWhether higher (max) or lower (min) is better for compare_metric.
horizonintegerOptional shared horizon applied to scenarios that don't set their own.
include_projectionsbooleanInclude each scenario's full per-period projections.
scenariosarrayyes2-3 scenarios to compare. Each: {name?, template, inputs, horizon?, period_label?} or {name?, metrics:[...]} for a custom model.

No output schema declared.

No examples provided.

health_check ~29

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

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_templates ~60

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.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

run_scenario ~373

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).

NameTypeReqDescription
horizonintegerNumber of periods to project forward (1..1200). Default depends on template (usually 12).
inputsobjectScenario assumptions as {name: value}. Which keys are valid depends on the template (call list_templates). Unlisted keys fall back to documented defaults; unknown keys are ignored and reported in not…
metricsarrayFor a CUSTOM free-form scenario (template omitted or 'custom'): a list of independently-growing metrics. Each: {name, start, growth_rate (per period, default 0), mode: 'compound' (default) | 'linear'…
period_labelstringLabel for each period; also sets annualization (periods/year).
templatestringPre-built scenario template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth (aliases like 'saas','pricing','…

No output schema declared.

No examples provided.

sensitivity_analysis ~475

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.

NameTypeReqDescription
horizonintegerNumber of periods to project forward (1..1200). Default depends on template (usually 12).
inputsobjectScenario assumptions as {name: value}. Which keys are valid depends on the template (call list_templates). Unlisted keys fall back to documented defaults; unknown keys are ignored and reported in not…
maxnumberSweep upper bound (with 'min').
minnumberSweep lower bound (with 'max').
period_labelstringLabel for each period; also sets annualization (periods/year).
stepsintegerNumber of sweep points per variable (2-200).
target_metricstringOutput metric to track (see a template's 'outputs' via list_templates). Defaults to the template's primary output.
templatestringyesPre-built scenario template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth (aliases like 'saas','pricing','…
valuesarrayExplicit sweep values for a single 'variable'.
variablestringA single input name to sweep.
variablesarrayMultiple inputs to sweep (one at a time). Each: {name, variation?|values?|min?+max?, steps?}.
variationnumberFractional sweep around the baseline (0<v<=1). 0.2 = +/-20%.

No output schema declared.

No examples provided.