Alugar ou Comprar — MCP Server

by ronybarbosa Your server? Claim it

answering

Alugar ou Comprar — MCP Server is answering right now. Last checked 8 min ago. It exposes 13 tools.

Motor financeiro determinístico: simula comprar vs alugar imóvel.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 75 days of history · worst day 2%

75 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

103 ms

Response time

average over 24h

authentication required

Access

streamable-http

What changed 16

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 27 August 2026. No other catalogue keeps this.

4 Sep 3 tools changed the parameters they ask for calculate_cet, recommendation_contextual, sensitivity_analysis

4 Sep a tool appeared compare_amortization_strategies

2 Sep 3 tools appeared get_rental_yield, max_price_from_rent, recommendation_contextual

2 Sep 2 tools changed the parameters they ask for calculate_cet, sensitivity_analysis

31 Aug 3 tools appeared calculate_cet, sensitivity_analysis, simulate_tr_evolution

31 Aug 2 tools changed the parameters they ask for generate_share_link, simulate_buy_vs_rent

31 Aug a tool description was rewritten simulate_buy_vs_rent

27 Aug a tool description was rewritten simulate_buy_vs_rent

Alugar ou Comprar — MCP Server does not always answer

Over the last week it answered 52.3% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add alugar-ou-comprar --transport http https://alugar-ou-comprar.vercel.app/api/mcp

Settings → Connectors → Add custom connector, then paste this address

https://alugar-ou-comprar.vercel.app/api/mcp

~/.codex/config.toml

[mcp_servers.alugar-ou-comprar]
url = "https://alugar-ou-comprar.vercel.app/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "alugar-ou-comprar": {
      "url": "https://alugar-ou-comprar.vercel.app/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "alugar-ou-comprar": {
      "type": "http",
      "url": "https://alugar-ou-comprar.vercel.app/api/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, but it did not say what kind of credentials it expects.

Available tools 13

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

simulate

simulate_buy_vs_rent

Executa a simulação determinística "comprar vs alugar" para um imóvel. Aceita parâmetros simples ou múltiplos cenários (pessimista/base/otimista) via campo "cenarios". Retorna veredito, ano e mês de breakeven, vantagem patrimonial final, custos do primeiro mês, snapshots anuais com patrimônio comprador e locatário, e um link para o painel interativo em https://alugar-ou-comprar.vercel.app.

simulate_tr_evolution

Retorna uma série mensal projetada de TR (Taxa Referencial) para uso em financiamentos indexados. Modo 'historical' usa os dados de data/tr_historical.json; modo 'projected' usa TR base constante.

affordability

check_affordability

Calcula o valor máximo de imóvel que a renda familiar consegue financiar, considerando regras de comprometimento de renda, entrada e custos de transação.

calculate

calculate_cet

Calcula o CET (Custo Efetivo Total) anual de um financiamento imobiliário, incluindo juros, seguros MIP/DFI e taxas administrativas. Aceita os mesmos parâmetros da simulação comprar vs alugar.

compare

compare_amortization_strategies

Compara 3 estratégias de uso de uma renda extra mensal: A) pagar apenas a parcela do financiamento, B) investir a renda extra, C) amortizar extraordinariamente o financiamento. Retorna o patrimônio líquido final de cada estratégia, o breakeven e uma recomendação.

default

get_default_parameters

Retorna o conjunto ativo de parâmetros padrão brasileiros (taxas, prazos, custos) usados pelo site e pelas simulações.

generate

generate_share_link

Gera links compartilháveis para a simulação: um com query params (preenche o formulário da home) e outro no formato /simular/<slug> (painel interativo completo com gráficos) em https://alugar-ou-comprar.vercel.app.

max

max_price_from_rent

Calcula o preço máximo de imóvel compatível com um aluguel mensal máximo informado. Considera parcela de financiamento (PRICE), condomínio, IPTU, manutenção, seguros e custo de oportunidade da entrada. Retorna o preço máximo e o custo mensal estimado nos cenários atual, otimista (taxa -2%) e pessimista (taxa +2%).

municipio

get_municipio_rates

Busca alíquotas de ITBI, IPTU, escritura e registro de um município brasileiro. Passe municipioId para busca exata, ou uf/nome para filtrar. Sem filtro retorna a lista completa.

recommendation

recommendation_contextual

Gera uma recomendação contextual entre alugar e comprar, considerando horizonte de permanência e sensibilidade aos parâmetros de valorização do imóvel e rendimento do investimento alternativo. Retorna horizonte de corte (breakeven patrimonial), veredito ano a ano, thresholds de sensibilidade e um texto de recomendação pronto para o usuário.

rental

get_rental_yield

Calcula o rental yield (retorno anual e mensal) a partir do valor do imóvel e do aluguel mensal. Interpreta o indicador: < 5% a.a. = aluguel relativamente barato; 5–7% = intermediário; 7–9% = aluguel caro; > 9% = aluguel muito caro. Indicador inicial, não é uma regra absoluta.

sensitivity

sensitivity_analysis

Executa uma análise de sensibilidade cruzando taxas de valorização do imóvel com rendimentos do investimento alternativo. Retorna uma matriz onde cada célula indica se compensa comprar (C) ou alugar (A), além do ano de breakeven patrimonial. Reusa o mesmo motor de simulação de simulate_buy_vs_rent.

site

get_site_info

Retorna informações sobre o site É melhor alugar ou comprar um imóvel e como acessar os painéis interativos.

Endpoints

URL	Transport	State	Latency	Checked
https://alugar-ou-comprar.vercel.app/api/mcp	streamable-http	needs auth	253 ms	8 min ago

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Alugar ou Comprar — MCP Server — questions

Answers built from our own checks of this server.

What can Alugar ou Comprar — MCP Server do?

It exposes 13 tools, read directly from the server on our last check. Among them: calculate_cet, check_affordability, compare_amortization_strategies, generate_share_link, get_default_parameters, get_municipio_rates and 7 more. 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 Alugar ou Comprar — MCP Server working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 103 ms. The bar chart above shows every period we have measured.

Is Alugar ou Comprar — MCP Server still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect Alugar ou Comprar — MCP Server?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You will need your own credentials: it refuses anonymous clients.

Does Alugar ou Comprar — MCP Server need an API key?

Yes. Every time we knock, Alugar ou Comprar — MCP Server answers with an authorization challenge instead of its tool list — that is how we know it is running and gated rather than broken. Bring your own credentials and it will talk.

How fast is Alugar ou Comprar — MCP Server?

It answers our handshake in 103 ms on average, which is faster than 92% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.