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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Dog Body Language Decoder with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Interprets dog body signals (posture, ears, tail, face) to determine emotional state and provides actionable safety guidelines for safe human interaction.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete Dog Body Language Decoder capability set.

These are the exact actions your AI can choose when you ask it to work with Dog Body Language Decoder.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Dog Body Language Decoder.

  1. 01

    Calculate emotional state

    Returns primary emotion, confidence level, and secondary readings. Analyze body signals to determine the dog primary emotional state and confidence level

  2. 02

    Query body signals

    Ear position and tail state are required inputs. Gather and standardize canine body signal observations

  3. 03

    Query safe approach

    Confidence level adjusts caution guidance. Get safe interaction guidelines based on the dog emotional state

Observed, not estimated

622ms average. Fast in production.

Dog Body Language Decoder is checked daily against the live service.

Daily averagePeak 872ms
Aug 20Today
Fastest day
507ms
Slowest day
872ms
14-day trend
Slowing+30%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Dog Body Language Decoder, so you can see the experience inside your AI.

It does not authenticate your account with Dog Body Language Decoder. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Dog Body Language Decoder Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_U7FnmRu1ItCH2S3JeaW5ff7ttu7v3l84DHArzA7x/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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.
Configuration · claude_desktop_config.jsonCopy
{
  "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

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Dog Body Language Decoder owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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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