io.github.inity13/scenariosim-mcp
NPM · SCENARIOSIM-MCP · 2 COMPONENTS · SCANNED AUG 20
Deterministic what-if & scenario simulation for AI agents: projections, sensitivity & break-even.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 0 of 1 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 8 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability58
- AI-judged instruction clarity (fair).Partial
- Context-footprint check failed: tool/resource definitions use about 746 tokens (~124/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 Management27
- Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage78
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 33% of tool parameters carry a description.Partial
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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.
npm · scenariosim-mcp
claude mcp add inity13-scenariosim-mcp -- npx -y scenariosim-mcp
codex mcp add inity13-scenariosim-mcp -- npx -y scenariosim-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"inity13-scenariosim-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"scenariosim-mcp"
],
"enabled": true
}
}
} openclaw mcp add inity13-scenariosim-mcp --command npx --arg -y --arg scenariosim-mcp
mcp_servers:
inity13-scenariosim-mcp:
command: "npx"
args: ["-y", "scenariosim-mcp"] {
"mcpServers": {
"inity13-scenariosim-mcp": {
"command": "npx",
"args": [
"-y",
"scenariosim-mcp"
]
}
}
} 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 +4
- Stability: unverified → 0.27 ▲ functional
- 12 Aug 26 63
First indexed and scored.
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 · Analysed npm/scenariosim-mcp@1.0.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Dependencies 1 package
| Packages resolved | 1 |
|---|---|
| Tree resolution | Complete |
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.
break_even ~192
Solve for the input value required to make an output metric reach a target value (bisection). Returns the required input, change from baseline, achieved metric, and residual.
| Name | Type | Req | Description |
|---|---|---|---|
| bounds | array | – | – |
| horizon | integer | – | Periods to project (1..1200). |
| inputs | object | – | Scenario assumptions {name:value}; valid keys depend on the template (see list_templates). Unknown keys are ignored. May also be passed at top level. |
| period_label | string | – | – |
| solve_for | string | yes | – |
| target_metric | string | – | – |
| target_value | number | yes | – |
| template | string | yes | Template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth. Omit or 'custom' for a free-form 'metrics' model. |
No output schema declared.
No examples provided.
compare_scenarios ~87
Run 2-3 scenarios and compare their key_results side by side with deltas vs the first (baseline). Optionally rank on 'compare_metric' with 'goal' (max|min).
| Name | Type | Req | Description |
|---|---|---|---|
| compare_metric | string | – | – |
| goal | string | – | – |
| horizon | integer | – | – |
| include_projections | boolean | – | – |
| scenarios | array | yes | – |
No output schema declared.
No examples provided.
health_check ~16
Server health, version, and capabilities.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_templates ~31
List all pre-built scenario templates (inputs, defaults, outputs) plus the custom-scenario format and period labels.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
run_scenario ~198
Main simulation tool. Deterministic what-if projection from a template or a free-form 'metrics' model. Returns projections, key_results, assumptions_used, methodology, notes, and a plain-language explanation. 100% deterministic.
| Name | Type | Req | Description |
|---|---|---|---|
| horizon | integer | – | Periods to project (1..1200). |
| inputs | object | – | Scenario assumptions {name:value}; valid keys depend on the template (see list_templates). Unknown keys are ignored. May also be passed at top level. |
| metrics | array | – | Custom model: [{name, start, growth_rate?, mode:'compound'|'linear'}]. |
| period_label | string | – | – |
| template | string | – | Template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth. Omit or 'custom' for a free-form 'metrics' model. |
No output schema declared.
No examples provided.
sensitivity_analysis ~222
Vary one or more inputs and show the impact on a target output metric (one-at-a-time). Returns per-variable sweeps, elasticity estimates, output ranges, and the most influential inputs.
| Name | Type | Req | Description |
|---|---|---|---|
| horizon | integer | – | Periods to project (1..1200). |
| inputs | object | – | Scenario assumptions {name:value}; valid keys depend on the template (see list_templates). Unknown keys are ignored. May also be passed at top level. |
| max | number | – | – |
| min | number | – | – |
| period_label | string | – | – |
| steps | integer | – | – |
| target_metric | string | – | – |
| template | string | yes | Template id: saas_growth, pricing_change, churn_impact, cost_reduction, hiring_plan, cash_runway, unit_economics, marketing_funnel, compound_growth. Omit or 'custom' for a free-form 'metrics' model. |
| values | array | – | – |
| variable | string | – | – |
| variables | array | – | – |
| variation | number | – | – |
No output schema declared.
No examples provided.