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8 clients · secrets stay placeholders

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

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

[mcp_servers.scenariosim-mcp]
url = "https://scenariosim-mcp.pages.dev/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "scenariosim-mcp": {
      "type": "remote",
      "url": "https://scenariosim-mcp.pages.dev/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "scenariosim-mcp": {
      "type": "http",
      "url": "https://scenariosim-mcp.pages.dev/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=scenariosim-mcp&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vc2NlbmFyaW9zaW0tbWNwLnBhZ2VzLmRldi9tY3AifQ%3D%3D"
}

{
  "servers": {
    "scenariosim-mcp": {
      "type": "http",
      "url": "https://scenariosim-mcp.pages.dev/mcp"
    }
  }
}

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

extensions:
  "scenariosim-mcp":
    enabled: true
    name: "scenariosim-mcp"
    type: streamable_http
    uri: "https://scenariosim-mcp.pages.dev/mcp"
    timeout: 300

Quality 83 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene71 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: run_scenario (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); sensitivity_analysis (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); compare_scenarios (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 2,444 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependencies100 · weight 15

pass
deps.known_vulnsno known advisory in 2 resolved packages
n/a
deps.mcp_sdk_versionthe official MCP SDK is not in the dependency graph
pass
deps.resolvable[email protected] resolved: 2 packages

6 tools, about 2,444 tokens to load them all · tool set fac7d366c1fd · checked 2026-10-20 10:03 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 91 / 100

provenance80

liveness100

freshness85

hygiene100

+repository +namespace-matches-repo +reachable +uptime-100% ~updated-69d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Dependencies

[email protected] npm1 dependencies, resolved · advisories checked 2026-10-19

No known advisory affects this dependency graph.

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://scenariosim-mcp.pages.dev/mcp` streamable-http	none	yes	100%	133 ms	2025-11-25	2026-10-20

package	registry	version	runtime	secrets
`scenariosim-mcp`	npm	1.0.2	–

Tools (6)

`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 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.
`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 'goal' ('max' default \| 'min') to pick a winner, and set include_projections:true to also return per-period series.
`health_check`	Server health, version, and capabilities (tools, templates, period labels, max horizon). No parameters.
`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.
`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, 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).
`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 +/- 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.

Schemas: list_tools.

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Official server.json

{
  "name": "io.github.inity13/scenariosim-mcp",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://scenariosim-mcp.pages.dev/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.2",
  "packages": [
    {
      "version": "1.0.2",
      "transport": {
        "type": "stdio"
      },
      "identifier": "scenariosim-mcp",
      "registryType": "npm"
    }
  ],
  "repository": {
    "url": "https://github.com/inity13/scenariosim-mcp",
    "source": "github"
  },
  "description": "Deterministic what-if & scenario simulation for AI agents: projections, sensitivity & break-even."
}