Conecte Curie Measurement Prover ao ChatGPT, Claude e Gemini

• 01 / 02Como quantificar riscos
• 02 / 02Como validar afirmações

Dia mais rápido

704ms

Dia mais lento

1159ms

Tendência de 14 dias

Desacelerando+14%

Curie Measurement Prover Connector

Tudo pronto. Escolha seu cliente MCP e siga as instruções de configuração.

Link do conectorhttps://edge.vinkius.com/vk_preview_CPb0xivIrSLYBuuZ7KzsZrT7gj3fFKipKNBJYSPo/mcpCopiar

Claude Desktop

Siga os passos abaixo para conectar em segundos.

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Curie Measurement Prover capabilities are ready to use.

Configuração · claude_desktop_config.jsonCopiar

{
  "mcpServers": {
    "curie-measurement-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_CPb0xivIrSLYBuuZ7KzsZrT7gj3fFKipKNBJYSPo/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

Instruções passo a passo para cada cliente estão no guia. Como conectar

Configuração guiada para o Claude? Configurar Curie Measurement Prover no Claude e outras IAs

Veja todos os clientes de IA com quem este connector funciona ↑

• 01

  Engenheiros de Processos

  Para validar mudanças em linhas de produção sem confundir correlação com causalidade.

• 02

  Gerentes de Operações

  Para garantir que investimentos em automação ou novos fornecedores tragam o retorno esperado.

• 03

  Cientistas de Dados

  Para aplicar rigor empírico e evitar conclusões baseadas em amostras de contexto único.

• 01

  What does this MCP actually do?

  It acts as a logical validator that forces your AI client to use scientific rigor. It checks for proper measurement, variable isolation, cross-domain testing, persistence, and risk quantification.

• 02

  How do I use it with Claude or Cursor?

  Vinkius hosts the MCP for you. You simply connect your client to the Vinkius catalog once, and the capabilities become available to your agent immediately.

• 03

  Can it help me find out why a process failed?

  Yes. By using the isolation pivot, it helps you determine if a failure was caused by a specific variable or if you haven't tested enough variations to be sure.

• 04

  What is a 'Measurement Absent' verdict?

  This happens when an agent uses words like 'faster' or 'better' without providing a baseline, a method, an after-value, and a quantified delta.

• 05

  Does this require manual data entry?

  The agent uses the data you provide in your prompts to run the validation. It is a capability for the agent to process the information you give it.

• 06

  Is this only for performance optimization?

  No. Curie's method applies to any domain requiring empirical validation. process improvement (measure before/after cycle times, isolate each change), vendor evaluation (measure cost/quality/reliability, not 'it seems better'), risk assessment (quantify probability and impact, not 'the risk is minimal'), method selection (benchmark each candidate in isolation), controlled experiments (single variable, controlled conditions). Anywhere you would say 'better' or 'faster' or 'more reliable,' replace the adjective with a number.

• 07

  What if isolation is impractical?

  Sometimes variables are genuinely coupled. changing the supplier requires changing the delivery schedule. The engine does not demand artificial isolation. It demands AWARENESS of what was changed together and WHY isolation was impractical. Document: 'We changed X and Y together because X requires Y. We cannot isolate their effects. We accept that the 67% improvement is from X+Y combined, with Y alone contributing approximately 15% based on a separate controlled test.' Honest documentation of coupled changes is acceptable. Pretending 3 changes are one is not.

• 08

  How does it differ from the Watt Efficiency Prover?

  Watt validates EFFICIENCY ENGINEERING. finding waste, instrumenting baselines, designing feedback loops, isolating bottlenecks, quantifying improvements. It asks 'where is the bottleneck?' Curie validates EMPIRICAL RIGOR. measuring instead of claiming, isolating variables, cross-domain validation, persistence, risk quantification. It asks 'where is the number?' Watt finds WHERE to optimize. Curie proves THAT you optimized. Use Watt to identify bottlenecks. Use Curie to prove your fix actually worked. with numbers, not adjectives.

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