# io.github.physics-star-cat/lowriskquotes-montecarlo

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

- name: io.github.physics-star-cat/lowriskquotes-montecarlo
- version: 1.0.0
- connection class: R0 (autonomous)
- trust: 94/100
- quality: 85/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.physics-star-cat%2Flowriskquotes-montecarlo
- tools: https://api.protogrid.dev/v1/servers/io.github.physics-star-cat%2Flowriskquotes-montecarlo/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "lowriskquotes-montecarlo": {
      "type": "http",
      "url": "https://lowriskquotes.com/api/mcp/"
    }
  }
}
```


## Trust

- hygiene: 100
- liveness: 100
- freshness: 85
- provenance: 90
- drivers: +repository +namespace-matches-repo +website +reachable +uptime-100% ~updated-50d-ago
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 85/100 (good)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 86 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 2 of 2 tools declare readOnlyHint or destructiveHint
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: monte_carlo_estimate (idempotentHint); retirement_drawdown (idempotentHint)
- pass `tools.token_cost`: about 495 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: 2 tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 2, about 495 tokens to load them all
- tool set hash: 43818b419af9a9c2edd0a4d13613b174
- tools last changed: 2026-10-03T10:29:02.198Z
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.physics-star-cat/lowriskquotes-montecarlo.svg)](https://protogrid.dev/servers/io.github.physics-star-cat/lowriskquotes-montecarlo)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

- 2026-10-03 `retirement_drawdown` changed (title, 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: 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.
- 2026-10-03 `monte_carlo_estimate` changed (title, annotations)

Full history: https://api.protogrid.dev/v1/servers/io.github.physics-star-cat%2Flowriskquotes-montecarlo/changes

## Remotes

- https://lowriskquotes.com/api/mcp/ (streamable-http, auth none, reachable true, uptime30d 1)

## Packages

_none_

## Tools (2)

- `monte_carlo_estimate`: Run 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_drawdown`: 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.