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lowriskquotes-montecarlo

R0· no sign-in

Monte Carlo tools: three-point cost estimation and an educational retirement drawdown simulator.

v1.0.0 · active · repository · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality85good
Trust94of 100
Uptime, 30 days100%
Latency p50321 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "lowriskquotes-montecarlo": {
      "type": "http",
      "url": "https://lowriskquotes.com/api/mcp/"
    }
  }
}
claude mcp add --transport http lowriskquotes-montecarlo https://lowriskquotes.com/api/mcp/
[mcp_servers.lowriskquotes-montecarlo]
url = "https://lowriskquotes.com/api/mcp/"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "lowriskquotes-montecarlo": {
      "type": "remote",
      "url": "https://lowriskquotes.com/api/mcp/",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "lowriskquotes-montecarlo": {
      "type": "http",
      "url": "https://lowriskquotes.com/api/mcp/"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=lowriskquotes-montecarlo&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbG93cmlza3F1b3Rlcy5jb20vYXBpL21jcC8ifQ%3D%3D"
}
{
  "servers": {
    "lowriskquotes-montecarlo": {
      "type": "http",
      "url": "https://lowriskquotes.com/api/mcp/"
    }
  }
}
{
  "mcpServers": {
    "lowriskquotes-montecarlo": {
      "httpUrl": "https://lowriskquotes.com/api/mcp/"
    }
  }
}
extensions:
  "lowriskquotes-montecarlo":
    enabled: true
    name: "lowriskquotes-montecarlo"
    type: streamable_http
    uri: "https://lowriskquotes.com/api/mcp/"
    timeout: 300

Quality 85 / 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 hygiene86 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • pass
    tools.annotations2 of 2 tools declare readOnlyHint or destructiveHint
  • fail
    tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: monte_carlo_estimate (idempotentHint); retirement_drawdown (idempotentHint)
  • pass
    tools.token_costabout 495 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changes2 tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

2 tools, about 495 tokens to load them all · tool set 43818b419af9 · tools last changed 2026-10-03 · checked 2026-10-19 10:52 UTC

Tool changes

  • retirement_drawdownchangedtitle, description, annotations
    before

    Monte Carlo retirement drawdown simulation: given a portfolio, annual spending, horizon and equity allocation, returns the probability the money lasts, end-balance percentiles and the assumptions used (real returns, annual steps). Educational output only — always present it with its assumptions and disclaimer, never as personal financial advice.

    after · 78% of words in common

    Monte Carlo retirement drawdown simulation: given a portfolio, annual spending, horizon and equity allocation, returns the probability the money lasts, end-balance percentiles and the assumptions used (real returns, annual steps). The output is an educational illustration with its assumptions and a disclaimer attached; it is not personal financial advice.

  • monte_carlo_estimatechangedtitle, annotations

Full history: list_changes · trend: quality JSON.

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 94 / 100

provenance90
liveness100
freshness85
hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-100% ~updated-49d-ago

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

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://lowriskquotes.com/api/mcp/ streamable-httpnoneyes100%321 ms2025-11-252026-10-19

Tools (2)

monte_carlo_estimateread-onlyRun a three-point (triangular) Monte Carlo simulation over cost line items. Use when a user needs a realistic range for a quote, budget or project cost instead of a single guess. Returns total-cost percentiles (p10/p50/p80/p90) and per-item breakdown.
retirement_drawdownread-onlyMonte Carlo retirement drawdown simulation: given a portfolio, annual spending, horizon and equity allocation, returns the probability the money lasts, end-balance percentiles and the assumptions used (real returns, annual steps). The output is an educational illustration with its assumptions and a disclaimer attached; it is not personal financial advice.

Schemas: list_tools.

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Official server.json
{
  "name": "io.github.physics-star-cat/lowriskquotes-montecarlo",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://lowriskquotes.com/api/mcp/",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.0",
  "repository": {
    "url": "https://github.com/physics-star-cat/contractors_app",
    "source": "github"
  },
  "websiteUrl": "https://lowriskquotes.com/api/",
  "description": "Monte Carlo tools: three-point cost estimation and an educational retirement drawdown simulator."
}