Connectez NotCo à ChatGPT, Claude et Gemini

• 01 / 03Analyser la nutrition et les coûts
• 02 / 03Créer des recettes végétales
• 03 / 03Simuler des tests sensoriels

Jour le plus rapide

761ms

Jour le plus lent

1177ms

Tendance sur 14 jours

En ralentissement+5%

NotCo Connector

Tout est prêt. Choisissez votre client MCP et suivez les instructions de configuration.

Lien du connecteurhttps://edge.vinkius.com/vk_preview_X96Vln1ySlo04muOQxCxFy1CVrJgOYZ9jeRe9c6i/mcpCopier

Claude Desktop

Suivez les étapes ci-dessous pour vous connecter en quelques secondes.

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.

Configuration · claude_desktop_config.jsonCopier

{
  "mcpServers": {
    "notco-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_X96Vln1ySlo04muOQxCxFy1CVrJgOYZ9jeRe9c6i/mcp"
    }
  }
}

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

Les instructions pas à pas pour chaque client sont dans le guide. Comment connecter

Configuration guidée pour Claude ? Configurer NotCo avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Scientifiques alimentaires et équipes R&D

  Pour interroger instantanément les correspondances moléculaires sans changer d'interface.

• 02

  Formulateurs de produits

  Pour tester des recettes végétales théoriques en environnement virtuel avant le prototypage en laboratoire.

• 03

  Partenaires stratégiques

  Pour suivre l'avancement des projets et évaluer rapidement les prototypes générés par l'IA.

• 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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