MCP server

QuantCalc Retirement Engine Official

app.quantcalc/retirement-engine

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Retirement Monte Carlo, tax-aware withdrawal and Roth-conversion plans, and a 2026 return estimate.

Website Source

At a glance

Type

MCP server

Publisher

quantcalc.app (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 11,314 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.retirement-engine]
url = "https://mcp.quantcalc.app"

Gemini CLI

{"mcpServers":{"retirement-engine":{"httpUrl":"https://mcp.quantcalc.app"}}}

Cursor

{"mcpServers":{"retirement-engine":{"url":"https://mcp.quantcalc.app"}}}

VS Code

{"servers":{"retirement-engine":{"type":"http","url":"https://mcp.quantcalc.app"}}}

Antigravity

agy mcp add retirement-engine https://mcp.quantcalc.app

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"retirement-engine","server_url":"https://mcp.quantcalc.app","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"retirement-engine","server_url":"https://mcp.quantcalc.app"}

Tools

• compare_return_assumptions ~861 tokens
  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. Every input is optional: omitted plan inputs use an illustrative plan (age 65, $1,000,000 saved, $40
• estimate_2026_tax_return ~2312 tokens
  Estimates a household's 2026 federal and state income tax return from its 2026 income (wages, Social Security, IRA and 401(k) distributions, pensions, Roth conversions, interest, dividends, capital gains and losses), deductions, withholding and estimated payments, and returns the federal refund or a
• explain_methodology ~76 tokens
  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_sources ~75 tokens
  Returns the published capital market assumption sets the engine carries and which components each publisher provides (returns, volatilities, correlations).
• optimize_social_security_claiming ~3577 tokens
  Searches every Social Security claiming age from 62 (or today's age) to 70 for the household's tax-aware plan: each age's benefit is the given benefit restated by the SSA reduction and delayed-retirement-credit rules, and each age runs the full tax-aware plan on the same simulated markets as the pla
• run_retirement_projection ~848 tokens
  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 non
• run_tax_aware_projection ~3565 tokens
  Runs the retirement projection with the household's accounts split by tax type and returns the withdrawal order and Roth-conversion programme the engine selected, its present-value advantage and range against drawing traditional first, and the after-tax success rate. Federal and state income tax (50

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