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Offramp Server

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Provides retirement planning computations for AI agents, including Monte Carlo simulations, tax burden modeling across all US states, Social Security claiming o

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Описание

Provides retirement planning computations for AI agents, including Monte Carlo simulations, tax burden modeling across all US states, Social Security claiming optimization, and cost-of-living comparisons.

README

Retirement planning computation tools for AI agents. Provides Monte Carlo simulation, 50-state tax burden modeling, Social Security claiming optimization, cost-of-living comparison across 60+ US metro areas, and geographic arbitrage analysis.

These computations cannot be reliably performed by language models alone. Offramp provides structured, deterministic financial calculations that agents can call when answering retirement planning questions.

Tools

retirement_feasibility

Run 10,000 Monte Carlo simulations using historical S&P 500 returns (1928-2024) to determine retirement success probability. Input a person's age, savings, expenses, and income sources. Returns success probability, safe withdrawal rate, worst-case depletion age, and year-by-year portfolio projections at 10th/50th/90th percentiles.

calculate_tax_burden

Calculate federal + state income tax for a retirement income profile in any US state. Handles Social Security taxation rules, pension exemptions, retirement income deductions, and senior-specific deductions across all 50 states + DC. Returns effective rate, marginal rate, after-tax income, and state-specific notes.

compare_tax_across_states

Compare tax burden for the same income profile across multiple states simultaneously. Returns states ranked by total tax (lowest first) with annual savings between cheapest and most expensive options.

optimize_social_security

Find the optimal Social Security claiming strategy. Tests all claiming ages 62-70 for singles, and key age combinations for married couples with spousal benefits. Returns monthly benefit, lifetime benefit, and break-even ages for each strategy. Uses SSA bend points, FRA rules, delayed retirement credits, and early claiming reductions.

compare_locations

Compare cost of living across 60+ US metro areas. Returns estimated monthly budget broken down by housing, groceries, utilities, transportation, and healthcare. Includes median home price, median rent, climate score, and healthcare access score.

geographic_arbitrage

Calculate the complete financial impact of relocating for retirement. Combines home equity liberation, cost-of-living delta, state tax delta, and portfolio longevity impact. Returns annual savings, 10-year cumulative impact, break-even timeline on moving costs, and a narrative summary.

list_available_locations

List all 60+ metro areas available for comparison and arbitrage analysis.

Data Sources

  • Market returns: S&P 500 total returns 1928-2024 (Aswath Damodaran, NYU Stern)
  • Bond returns: 10-Year US Treasury returns 1928-2024 (Damodaran)
  • Inflation: CPI annual rates 1928-2024 (Bureau of Labor Statistics)
  • Federal tax: 2026 brackets, deductions, and Social Security taxation rules (IRS)
  • State tax: All 50 states + DC income tax rates, retirement income exemptions, SS taxation rules (Tax Foundation, state revenue departments)
  • Cost of living: Regional Price Parities and Consumer Expenditure Survey (BEA, BLS, C2ER)
  • Social Security: 2026 bend points, FRA schedule, claiming rules (Social Security Administration)
  • Healthcare: CMS Star Ratings and physicians per capita (CMS, HRSA)

Installation

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "offramp": {
      "command": "node",
      "args": ["/absolute/path/to/offramp-mcp/dist/index.js"]
    }
  }
}

Cursor / Windsurf / Other MCP Clients

{
  "mcpServers": {
    "offramp": {
      "command": "node",
      "args": ["/absolute/path/to/offramp-mcp/dist/index.js"]
    }
  }
}

From npm

npx offramp-mcp

Or install globally:

npm install -g offramp-mcp

Web Calculator

Free retirement calculator with Monte Carlo simulation: offramp.live

Build from Source

git clone https://github.com/deepmajithia/offramp2.git
cd offramp2
npm install
npm run build

Example Agent Interactions

An AI agent with Offramp connected can answer questions like:

  • "Can I retire at 62 with $500K in savings?"
  • "How much would I save in taxes by moving from California to Florida?"
  • "When should I claim Social Security if I expect to live to 90?"
  • "Compare the cost of living in Asheville NC vs Tampa FL vs Scottsdale AZ"
  • "What's the financial impact of selling my $800K house in New Jersey and moving to South Carolina?"

The agent handles the conversation. Offramp handles the math.

Limitations

  • US-only (federal + 50 states + DC). International retirement planning not yet supported.
  • Cost-of-living data covers ~60 major metro areas. Smaller cities/rural areas not included.
  • Tax model is simplified: covers ~90% of retirement scenarios but does not model every edge case (AMT, NIIT, state-specific credits beyond standard retirement exemptions).
  • Monte Carlo uses historical returns bootstrapping, not parametric models. Results reflect the distribution of past market behavior.
  • Not financial advice. All outputs are computational estimates for informational purposes.

License

MIT

from github.com/deepmajithia/offramp2

Установка Offramp Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/deepmajithia/offramp2

FAQ

Offramp Server MCP бесплатный?

Да, Offramp Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Offramp Server?

Нет, Offramp Server работает без API-ключей и переменных окружения.

Offramp Server — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Offramp Server в Claude Desktop, Claude Code или Cursor?

Открой Offramp Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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