MCP For Claude Marketplace
Retirement Withdrawal Calculator

Retirement Withdrawal Calculator MCP Connector for Claude

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Estimate the sustainability of your retirement withdrawals using Monte Carlo simulations.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner
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This MCP server provides a powerful engine for assessing retirement sustainability. By running 1,000 Monte Carlo scenarios, it calculates the probability of your portfolio surviving through your planned retirement horizon. Use simulate_withdrawal_probabilities to see how different rates like 3% or 4% impact survival, get_scenario_extremes to find best-case withdrawal totals, and evaluate_portfolio_risk_profile to understand the volatility of your chosen equity and fixed income mix.

retirementmonte-carlofinanceportfolioinvestment

3 tools expose this connector's capabilities to your AI agent.

evaluate_portfolio_risk_profile

Provides a breakdown of the expected volatility and return profile for the chosen asset mix

get_scenario_extremes

Identify the highest cumulative amount of money successfully withdrawn in a single scenario for each target rate

simulate_withdrawal_probabilities

0%, 3.5%, 4.0%, and 4.5%). Simulate the probability of portfolio survival for different withdrawal rates

See how to talk to your AI agent using Retirement Withdrawal Calculator.

If I have $1,000,000 and want to retire for 30 years with a 60/40 stock/bond split, what is my survival probability at a 4% withdrawal rate?

Based on the simulation, your probability of not running out of money at a 4% withdrawal rate is approximately 92%.

What is the maximum amount I could potentially withdraw in a best-case scenario with a 3.5% rate?

In the most successful simulated scenario, you could have withdrawn a total of $1,450,000 over your 30-year horizon.

Show me the risk profile for a portfolio with 80% equities and 20% fixed income.

The expected annual return for this allocation is 7.5% with an annualized volatility of 12.4%.

It is a mathematical technique that uses randomness to model the probability of different outcomes in a process that cannot easily be predicted due to the intervention of random variables, such as market returns.

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