Dog Body Language DecoderをAIに接続

• 01 / 02感情状態の読み解き方
• 02 / 02安全プロトコルの作成方法

最速日

545ms

最遅日

828ms

14日間の傾向

遅延傾向+22%

Dog Body Language Decoder 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_U7FnmRu1ItCH2S3JeaW5ff7ttu7v3l84DHArzA7x/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 — Dog Body Language Decoder capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "dog-body-language-decoder-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_U7FnmRu1ItCH2S3JeaW5ff7ttu7v3l84DHArzA7x/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？ Dog Body Language Decoder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

  ドッグトレーナー

  犬の感情を正確に把握し、トレーニングの安全性と効果を高めるために使用します。

• 02

  動物行動学者

  身体信号の組み合わせによる複雑な感情分析の補助ツールとして活用します。

• 03

  ペットオーナー

  愛犬や初めて接する犬との安全なコミュニケーションを実現するために利用します。

• 01

  How does this MCP interpret dog emotions?

  It doesn't look at just one signal. It takes multiple inputs like ear position and tail state, combines them using weighted rules, and produces a primary emotional state and a confidence rating.

• 02

  What AI clients can I use with this MCP?

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

• 03

  Does this MCP provide specific instructions for approaching dogs?

  Yes. The query_safe_approach capability provides concrete guidelines on physical distance and behavior based on the dog's detected emotion.

• 04

  Can I use this to analyze a dog's mood from a single tail wag?

  No. The system is designed to prevent the error of relying on single signals. It requires a combination of posture, ears, tail, and facial expressions for an accurate assessment.

• 05

  Do I need to host this myself?

  No. Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

• 06

  Does the system analyze individual signals or combinations?

  The system is designed to analyze combinations. The core logic resides in calculate_emotional_state. This capability requires structured inputs from query_body_signals (e.g., tucked tail + pinned ears) to weigh multiple signals against predefined rules, providing a much more accurate assessment than any single signal alone.

• 07

  What is the final output I receive after running all capabilities?

  The process flows from query_body_signals $\rightarrow$ calculate_emotional_state $\rightarrow$ query_safe_approach. The final output is generated by the last capability, query_safe_approach, which provides a comprehensive set of safety guidelines (general principle, specific actions, and distance mandates) tailored to the dog's primary emotional state.

• 08

  If I am unsure of a signal (e.g., distinguishing 'relaxed sprawl' from 'low to ground'), can the system handle it?

  The initial input capability, query_body_signals, is responsible for standardizing ambiguous human descriptions. While users should use clear language, the system is built to accept structured inputs regarding posture, ears, tail, and face. The subsequent capabilities will then interpret these standardized signals.

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