Wine Mlf Progression ModelをAIに接続

最速日

722ms

最遅日

1204ms

14日間の傾向

遅延傾向+38%

Wine MLF Model Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_bfFe0EaSVraOdqUGjoQ71s1EAUzZtS5xqCZIe21l/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

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 — Wine MLF Model capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "wine-mlf-progression-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_bfFe0EaSVraOdqUGjoQ71s1EAUzZtS5xqCZIe21l/mcp"
    }
  }
}

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

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Wine MLF ModelをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  醸造家

  MLFの進行を予測し、発酵のタイミングや品質を制御する専門家。

• 02

  ワイン研究者

  菌株の性能や環境パラメータがワインの化学組成に与える影響を分析する研究者。

• 03

  ワイナリー管理者

  発酵リスクを事前に把握し、醸造工程のトラブルを未然に防ぎたい責任者。

• 01

  What can this MCP predict regarding malolactic fermentation?

  It predicts the number of days until completion, the malic acid degradation rate, and the expected diacetyl production.

• 02

  How does the capability handle different yeast strains?

  It allows you to compare the performance of different Oenococcus oeni strains and find the optimal environmental conditions for a specific one.

• 03

  Can it help prevent fermentation failure?

  Yes, the risk assessment capability identifies if current wine conditions, such as high alcohol or SO2, are likely to cause a stalled fermentation.

• 04

  Which AI clients can I use with this MCP?

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

• 05

  Do I need to host the MCP myself?

  No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect your client.

• 06

  How can I predict if my fermentation will fail?

  You can use the assess_mlf_risk capability. It evaluates environmental inhibitors like high alcohol or SO2 levels to provide a failure risk score.

• 07

  Can I compare different bacterial strains?

  Yes, the compare_strain_performance capability allows you to compare the degradation rates of multiple Oenococcus oeni strains under the same wine conditions.

• 08

  What information is needed to estimate completion time?

  To use predict_mlf_progression, you need to provide the initial malic acid concentration, pH, temperature, SO2 level, alcohol content, and the specific strain ID.

• 

  Wine MLF Optimization Engine AIコネクタ

  Optimize Malolactic Fermentation timing, dosage, and nutrient needs.

  表示
• 

  Wine Temperature Stratification Model AIコネクタ

  Models temperature gradients and predicts hot spots in fermentation tanks.

  表示
• 

  Wine Oxygen Ingress Modeler AIコネクタ

  Predictive modeling for oxygen ingress through screw cap liners to assess wine stability.

  表示
• 

  Wine Fermentation Kinetics AIコネクタ

  Predict fermentation progress, completion dates, and stuck fermentation risks.

  表示

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