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Connect NotCo to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn animal-based molecular profiles into plant-based recipes.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 14 capabilities

We ship only the actions that matter.

Capability set01 / 04

01-04

4 capabilities in this set.

Part of 14 available through NotCo.

  1. 01

    Create project

    Starts a new R&D project within the NotCo platform.

  2. 02

    Estimate cost

    Calculates the predicted mass production cost for a specific formulation.

  3. 03

    List nutritional profiles

    Retrieves the target nutritional benchmarks you have set.

  4. 04

    List projects

    Shows all your currently active R&D projects.

Capability set02 / 04

05-08

4 capabilities in this set.

Part of 14 available through NotCo.

  1. 05

    List suppliers

    Provides a list of approved ingredient suppliers.

  2. 06

    Search flavor matches

    Identifies plant combinations that mimic a specific target flavor.

  3. 07

    Analyze nutrition

    Runs a nutritional analysis on a specific formulation's output.

  4. 08

    Create formulation

    Triggers the AI to generate a new plant-based formulation.

Capability set03 / 04

09-11

3 capabilities in this set.

Part of 14 available through NotCo.

  1. 09

    Get formulation

    Fetches the full details of a specific AI-generated formulation.

  2. 10

    Get ingredient

    Retrieves the complete molecular profile for a single ingredient.

  3. 11

    List formulations

    Displays a list of existing plant-based AI formulations.

Capability set04 / 04

12-14

3 capabilities in this set.

Part of 14 available through NotCo.

  1. 12

    List ingredients

    Searches the molecular database of plant-based ingredients.

  2. 13

    List sensory profiles

    Provides a list of standard sensory profiles.

  3. 14

    Run sensory test

    Executes an AI simulation of a sensory test.

Real work

What teams actually run

01

Ingredient Discovery

Find specific plant proteins or extracts that match a desired functional profile.

02

Recipe Optimization

Adjust a formulation to hit specific nutritional targets like lower saturated fat.

03

Cost Benchmarking

Compare the theoretical cost of a plant-based recipe against animal-based standards.

04

Rapid Prototyping

Generate multiple plant-based versions of a product to find the best molecular match.

Automate a task

Put NotCo to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

NotCo works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put NotCo to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

922ms average. Fast in production.

NotCo is checked daily against the live service.

Daily averagePeak 1177ms
Oct 3Today
Fastest day
761ms
Slowest day
1177ms
14-day trend
Slowing+5%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 14 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of NotCo, so you can see the experience inside your AI.

It does not authenticate your account with NotCo. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

NotCo Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_X96Vln1ySlo04muOQxCxFy1CVrJgOYZ9jeRe9c6i/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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.jsonCopy
{
  "mcpServers": {
    "notco-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_X96Vln1ySlo04muOQxCxFy1CVrJgOYZ9jeRe9c6i/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up NotCo in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work NotCo owners hand off.

This MCP is built for professionals working in plant-based food science and product development.

  • 01

    Food Scientists

    They query molecular matches and ingredient profiles without leaving their AI client.

  • 02

    Product Formulators

    They test theoretical plant-based recipes in a virtual environment before physical prototyping.

  • 03

    Strategic Food Partners

    They monitor R&D progress and evaluate AI-generated prototypes rapidly.

FAQ

Questions NotCo owners ask.

  • 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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