Non-linear Ingredient Adjuster Connector for AI agents.
3 live capabilities
Scale your bakery recipes with precise culinary chemistry.
Waiting for input…
Why people use Non-linear Ingredient Adjuster
Non-linear Ingredient Adjuster for Bakery Scaling Chemistry
With this Connector, you just provide the base recipe and your target size. The engine handles the chemistry for you. It knows that salt doesn't scale linearly and that leavening needs to be capped. You get a perfectly balanced list of ingredients ready for the oven. You stop worrying about the math and start focusing on the bake.
What Vinkius changes
You get a recipe that actually tastes like the original, just bigger.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Scaling a cookie recipe for a large party
A baker wants to make 100 cookies.
- Real-world use case 02
Converting a home cake recipe for a commercial bakery
A bakery owner needs to turn a small-batch sponge cake into a 50-cake production run without the cake losing its structure.
- Real-world use case 03
Adjusting a bread recipe for a community bake sale
A volunteer needs to scale a sourdough recipe for a large crowd, ensuring the leavening remains balanced for a consistent rise.
Complete set · 3capabilities
The complete Non-linear Ingredient Adjuster capability set.
These are the exact actions your AI can choose when you ask it to work with Non-linear Ingredient Adjuster.
01—03
3 capabilities in this set.
Part of 3 available through Non-linear Ingredient Adjuster.
- 01 Capability
Get scaling multipliers
Preview the specific multipliers that will be applied to different ingredient categories.
- 02 Capability
Scale ingredients
Convert a list of ingredients into new quantities based on non-linear culinary rules.
- 03 Capability
Validate recipe input
Check a recipe's ingredient categories and amounts to ensure they are compatible with the engine.
Set up in minutes
One URL. Then ask Non-linear Ingredient Adjuster to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Non-linear Ingredient Adjuster from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Kh40XZ5XPWArjwxeTdhhiqWcPcIK5m6d721K0MlG/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Non-linear Ingredient Adjuster, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Non-linear Ingredient Adjuster for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Kh40XZ5XPWArjwxeTdhhiqWcPcIK5m6d721K0MlG/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Non-linear Ingredient Adjuster URL.
- Step 03
Save and start
Save the connection and enable Non-linear Ingredient Adjuster in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"non-linear-ingredient-adjuster": {
"url": "https://edge.vinkius.com/vk_preview_Kh40XZ5XPWArjwxeTdhhiqWcPcIK5m6d721K0MlG/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Non-linear Ingredient Adjuster
Open Agent mode in chat and ask: "Using Non-linear Ingredient Adjuster, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"non-linear-ingredient-adjuster": {
"url": "https://edge.vinkius.com/vk_preview_Kh40XZ5XPWArjwxeTdhhiqWcPcIK5m6d721K0MlG/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Non-linear Ingredient Adjuster
Ask Copilot: "Using Non-linear Ingredient Adjuster, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"non-linear-ingredient-adjuster": {
"url": "https://edge.vinkius.com/vk_preview_Kh40XZ5XPWArjwxeTdhhiqWcPcIK5m6d721K0MlG/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Non-linear Ingredient Adjuster
Open Cascade and ask: "Using Non-linear Ingredient Adjuster, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"non-linear-ingredient-adjuster": {
"url": "https://edge.vinkius.com/vk_preview_Kh40XZ5XPWArjwxeTdhhiqWcPcIK5m6d721K0MlG/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Non-linear Ingredient Adjuster
Ask Cline: "Using Non-linear Ingredient Adjuster, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add non-linear-ingredient-adjuster --transport http "https://edge.vinkius.com/vk_preview_Kh40XZ5XPWArjwxeTdhhiqWcPcIK5m6d721K0MlG/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Non-linear Ingredient Adjuster
Ask Claude: "Using Non-linear Ingredient Adjuster, show me...". 3 tools are ready
Where the request belongs
Work Non-linear Ingredient Adjuster can move forward.
This is for the pastry chef who needs to scale a delicate macaron recipe for a wedding without ruining the crumb, or the food blogger turning a family secret into a commercial product.
Pastry Chef
Scales delicate dessert recipes for large events while maintaining specific crumb textures.
Recipe Developer
Converts home-tested recipes into production-ready documents for commercial use.
Home Baker
Adjusts quantities for large party batches without making the food too salty or leavened.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Baker Percentage Calculator
Convert baking recipes between absolute weights (grams) and professional Baker's percentages instantly, making scaling and comparison straightforward.
Ingredient Weight Converter
Convert volumetric culinary measurements into mass in grams based on specific ingredient densities.
Yield Calculator
Calculate usable ingredient mass and waste after preparation.
Hydration Calculator
Predict dough texture and hydration percentage instantly for bread, pizza, or focaccia.
Recipe Scaler
Precisely scale recipe ingredients while maintaining culinary proportions and practical measurements.
Smart Recipe Scaler
Scale ingredient quantities precisely using metric-based conversion and smart rounding.
Bring your own AI
Change the model, client or framework. Keep Non-linear Ingredient Adjuster connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Non-linear Ingredient Adjuster.
The practical details behind the request, access and result.
How does the Non-linear Ingredient Adjuster help with baking?
It uses food science rules to scale your recipes. Instead of multiplying everything by the same number, it caps leavening agents and scales seasonings like salt to ensure the final product tastes and feels like the original.
Can I use the Non-linear Ingredient Adjuster for commercial bakery production?
Yes, it's perfect for that. It helps you turn small-batch recipes into production-sized quantities while maintaining the exact flavor and texture your customers expect.
Will this capability make my cookies too salty when I scale them up?
No, it actually prevents that. The Connector applies a specific scaling rule for salt and spices, reducing their multiplier so they don't overpower the larger batch.
What happens to the leavening agents when I use this Connector?
The Connector caps the leavening agents. This prevents your cakes or breads from becoming too airy or collapsing, which often happens when you use simple multiplication on large batches.
Is the Non-linear Ingredient Adjuster good for home bakers?
Absolutely. It's a great way to bake for a crowd without having to do complex math. You can just tell your agent how many cookies you need and get the correct measurements back.
Does the Non-linear Ingredient Adjuster support different types of ingredients?
Yes, it categorizes ingredients like fats, leavening, and seasonings to apply the correct chemistry rules to each one automatically.
How does the scaling logic work for leavening agents?
To prevent structural failure, when the scale factor exceeds 2x, the multiplier for leavening agents like baking powder or yeast is capped at a specific limit.
Can I check multipliers before scaling my whole recipe?
Yes, you can use the get_scaling_multipliers capability to preview exactly how much each category (salt, fat, leavening) will be adjusted for a specific scale factor.
Does the capability validate my ingredient list?
Yes, the validate_recipe_input capability checks that all ingredients have valid names, amounts, units, and belong to supported categories like 'leavening', 'salt', or 'fat'.
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