QuantCalc Retirement Engine MCP Server

by quantcalc Your server? Claim it

answering

QuantCalc Retirement Engine is answering right now. Last checked moments ago. It exposes 4 tools.

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

Uptime history 73 hours of history

73 hours agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

548 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check QuantCalc Retirement Engine every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

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

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

compare

compare_return_assumptions

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

explain_methodology

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.

retirement

run_retirement_projection

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.

return

list_return_assumption_sources

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

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.quantcalc.app	streamable-http	answering	525 ms	0 min ago

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QuantCalc Retirement Engine — questions

Answers built from our own checks of this server.

What can QuantCalc Retirement Engine do?

It exposes 4 tools, read directly from the server on our last check. Among them: compare_return_assumptions, explain_methodology, list_return_assumption_sources, run_retirement_projection. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is QuantCalc Retirement Engine working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 548 ms. The bar chart above shows every period we have measured.

How do I connect QuantCalc Retirement Engine?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does QuantCalc Retirement Engine need an API key?

No. QuantCalc Retirement Engine completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is QuantCalc Retirement Engine?

It answers our handshake in 548 ms on average, which is faster than 25% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.