How to Use the Bread Proofing Calculator MCP in VS Code Copilot

Share precise baking calculations across your entire team in VS Code Copilot with this collaborative math tool.

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Connect Bread Proofing Calculator MCP to VS Code Copilot

Create your Vinkius account to connect Bread Proofing Calculator to VS Code Copilot — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Bread Proofing Calculator with VS Code Copilot

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Predict proofing times in VS Code Copilot

This MCP provides team-wide baking calculations by exposing `get_bulk_fermentation_duration` and `get_final_proof_duration` to your shared workspace. It estimates proofing windows using your yeast percentages and ambient temperatures. By committing the configuration to your repository, every developer on your team can run the same fermentation math. Your agent provides consistent rise times directly in the chat panel.

Calculate fridge delays with this MCP Server

This MCP Server determines how much longer your dough needs to proof when cold-retarded by running `calculate_cold_delay`. It estimates the yeast activity drop at refrigerator temperatures. This is useful for team members scheduling bakes around different shifts. Your agent calculates the exact cold delay so your dough is ready when you are.

Verify baking environments in VS Code Copilot

This tool verifies whether your dough setup is safe by calling `validate_fermentation_environment` inside your editor. It flags extreme temperatures or excessive yeast levels that would ruin a real-world bake. It acts as an automated safety check for your baking code. Your agent can quickly flag bad input parameters before they are committed to your codebase.

Setup guide

Set up Bread Proofing Calculator MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Bread Proofing Calculator MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Bread Proofing Calculator tools listed. Try asking: "List my recent Bread Proofing Calculator transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "bread-proofing-calculator-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bread Proofing Calculator. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Bread Proofing Calculator MCP in VS Code Copilot

Create a .vscode/mcp.json file in your project root and add the server configuration. Commit it to Git so everyone on your team gets access to the baking tools.

Yes, you must switch Copilot Chat to Agent mode to allow the assistant to run the calculations.

The underlying tools expect standard metric inputs. Your agent can handle the conversion automatically if you prefer to input Fahrenheit values.

Yes, you need VS Code version 1.96 or higher to support custom MCP configurations and Agent mode.

Yes, your specific hydration ratios and target proofing temperatures are sent directly to the sandboxed Vinkius execution environment. No data is stored or used to train public models.

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