Conecte NotCo ao ChatGPT, Claude e Gemini

• 01 / 03Como analisar nutrição e custo
• 02 / 03Como criar receitas plant-based
• 03 / 03Como simular testes sensoriais

Dia mais rápido

761ms

Dia mais lento

1177ms

Tendência de 14 dias

Desacelerando+5%

NotCo Connector

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

Link do conectorhttps://edge.vinkius.com/vk_preview_X96Vln1ySlo04muOQxCxFy1CVrJgOYZ9jeRe9c6i/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 — NotCo capabilities are ready to use.

Configuração · claude_desktop_config.jsonCopiar

{
  "mcpServers": {
    "notco-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_X96Vln1ySlo04muOQxCxFy1CVrJgOYZ9jeRe9c6i/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 NotCo no Claude e outras IAs

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

• 01

  Cientistas de Alimentos

  Consultam correspondências moleculares instantaneamente sem mudar de contexto.

• 02

  Formuladores de Produtos

  Testam receitas vegetais teóricas em ambiente virtual antes do protótipo em laboratório.

• 03

  Parceiros Estratégicos de Alimentos

  Monitoram o progresso de projetos e avaliam protótipos gerados por IA rapidamente.

• 01

  Do I need a NotCo account to use this MCP?

  Yes, you must have partner access and a valid NotCo API Key to authenticate the connection.

• 02

  Which AI clients can I use with this MCP?

  You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 03

  How accurate are the nutritional predictions?

  The MCP uses predictive algorithms to estimate nutritional values for custom plant mixtures before they are tested in a lab.

• 04

  Can I use this to find cheaper ingredient alternatives?

  Yes, the estimate_cost capability uses global commodity pricing to predict the mass-production cost of your formulations.

• 05

  Where does the plant data come from?

  The engine accesses a proprietary database containing the molecular, sensory, and functional profiles of thousands of plant extracts and proteins.

• 06

  Can I use this to generate a formula for a new plant-based meat?

  Yes! Use the create_formulation capability to instruct Giuseppe to model a specific animal product (e.g., 'Target: Pulled Pork'). You can pass constraints like 'no soy' or 'must contain pea protein'. Giuseppe will return a mathematically generated formula combining plant extracts that mimic the target's molecular profile.

• 07

  How does Giuseppe match specific flavors?

  The search_flavor_matches capability analyzes NotCo's proprietary database. Instead of searching for 'beef flavor', Giuseppe searches for the specific volatile molecular compounds that create the beef flavor, and then finds combinations of seemingly unrelated plants (like pineapple and cabbage) that, when combined mathematically, replicate that exact molecular behavior.

• 08

  Can I predict the cost of a new formulation before making it?

  Absolutely. Once Giuseppe generates a formulation, you can pass its ID to the estimate_cost capability. The API cross-references the required plant ingredients with global B2B commodity pricing databases to give you an estimated per-kilogram cost for mass production.

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