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Contaí — Calculadoras Fiscais Brasileiras

Contaí — Calculadoras Fiscais Brasileiras

Local
calculas.com.brFinance

About Contaí — Calculadoras Fiscais Brasileiras

32 ferramentas MCP de cálculo fiscal/trabalhista BR (CLT, INSS, IRRF, PJ, finanças, saúde).

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"lfhillesheim-contai": {
"command": "npx",
"args": [
"-y",
"@contai-evoluke/mcp-server"
],
"env": {
"CONTAI_TELEMETRY": "<CONTAI_TELEMETRY>",
"CONTAI_TELEMETRY_URL": "<CONTAI_TELEMETRY_URL>",
"CONTAI_TIMEOUT_MS": "<CONTAI_TIMEOUT_MS>"
}
}
}
}
Run commandnpx -y @contai-evoluke/mcp-server
Environment variables to set
CONTAI_TELEMETRYOpt-in para telemetria anônima (default OFF, LGPD). Envia apenas { tool, durationMs, ok, errorCode?, version, ts, installId } — nunca inputs/outputs.
CONTAI_TELEMETRY_URLURL endpoint de telemetria (default: https://api.calculas.com.br/v1/mcp-telemetry).
CONTAI_TIMEOUT_MSTimeout por chamada de tool em ms (default 5000, range 10–60000). Protege LLM clients de hang.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@contai-evoluke/mcp-server0.5.1

Tools

32

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
tipoenumYesType of termination under CLTsem_justa_causa | pedido_demissao | acordo_mutuo | justa_causa
admissaostringYesHire date in YYYY-MM-DD format
demissaostringYesTermination date in YYYY-MM-DD format
dependentesintegerNoNumber of dependents for IRRF
avisoTrabalhadobooleanNoWhether the notice period was worked (not indemnified)
salarioBrutoCentsintegerYesMonthly gross salary in cents (R$ 5000 = 500000)
feriasVencidasDiasintegerNoUnused vacation days from the previous period (paid at double rate)

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.