Mmcp.market

QuantCalc Retirement Engine

by quantcalc.app·app.quantcalc/retirement-engine·v1.0.2

Monte Carlo retirement projections on a real engine, with assumptions attached.

B79/100grade B
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Safety scan
B79/100

full report

Adoption
Growing

0 stars

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Nobody has reviewed QuantCalc Retirement Engine yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Tools (4, 1 write)

write = sends, deletes, buys or posts
  • compare_return_assumptionsFree

    Runs the same plan against several published capital market assumption sets and returns the success rate and median outcome under each, showing how far the answer moves with the return forecast used.

  • explain_methodologyFree

    Returns what the QuantCalc engine models and what it deliberately leaves out, including the tax provisions that are out of scope, and links to the published methodology.

  • list_return_assumption_sourcesFree

    Returns the published capital market assumption sets the engine carries and which components each publisher provides (returns, volatilities, correlations).

  • run_retirement_projectionwrite actionFree

    Runs a Monte Carlo retirement projection on the QuantCalc engine and returns the success rate, the ending-portfolio distribution, and the assumptions that produced them. The result states the return model that ran, the number of paths, and the income assumptions it used, including when there are none.

Public scan report

scanner v0.1.3 · 2026-09-19 · same rubric, same numbers if you re-run it

1 high
  • Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 1219ms20/20
  • Tool poisoning4 tool descriptions checked15/15
  • Auth qualityopen endpoint exposes 1 write-action tools with no auth3/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identitynamespace and repository owner differ; website matches verified namespace6/10

Findings (1)

  • highWrite-action tools reachable without authenticationauth.open-write
Overall 79/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install directly

claude mcp add --transport http retirement-engine https://mcp.quantcalc.app
Add to Cursor

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