NutritionixをChatGPT、Claude、Geminiに接続

• 01 / 01食品の栄養成分を検索する

最速日

726ms

最遅日

1166ms

14日間の傾向

安定+3%

Nutritionix 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_qd2EB5uR4foctxLARlP4JLLg6FqvJkhIduvJ2EwC/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 — Nutritionix capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "nutritionix-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qd2EB5uR4foctxLARlP4JLLg6FqvJkhIduvJ2EwC/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？ Nutritionix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

  AIアプリケーション開発者

  高度なNLPエンジンを搭載したAIエージェントに、正確な栄養分析機能を追加したいエンジニア。

• 02

  ヘルスケア・フィットネスアプリ運営者

  ユーザーの食事入力を簡略化し、正確なカロリー管理を提供したいサービス運営者。

• 03

  栄養士・健康管理アドバイザー

  クライアントの食事内容を迅速かつ正確にデータ化したい専門家。

• 01

  What do I need to use this MCP?

  You will need an app_id and app_key from Nutritionix to authenticate the connection.

• 02

  Can it identify food from specific restaurants?

  Yes, the MCP includes extensive menu data from national and regional restaurant chains.

• 03

  Does it support branded food items?

  Yes, you can search for both generic foods and specific branded products.

• 04

  What kind of nutritional data is returned?

  The capabilities return calories, protein, fat, carbs, fiber, sugar, sodium, and cholesterol.

• 05

  Which AI clients can use this?

  This MCP works with any MCP-compatible client, including Claude, Cursor, and Windsurf.

• 06

  How accurate is the NLP food analysis?

  Nutritionix's NLP engine is used by major fitness and health apps globally. It can parse complex meal descriptions including quantities, cooking methods, and brand names with high accuracy, backed by a verified database of 1M+ food items.

• 07

  Can it recognize branded foods or restaurant items?

  Yes, Nutritionix excels at this. If you type '1 Big Mac and a medium fries from McDonald's', it will correctly map these to specific branded items in its database.

• 08

  Does it track micronutrients?

  Yes, in addition to macros (proteins, fats, carbs), it returns data on dietary fiber, sugars, sodium, cholesterol, and potassium for an incredibly comprehensive nutritional profile.

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