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Connect Dog Body Language Decoder to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn canine physical signals into clear safety instructions.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Dog Body Language Decoder.

  1. 01

    Calculate emotional state

    This capability determines the dog's primary emotion and confidence level. It uses weighted rules to synthesize various body signals into a clear emotional status.

  2. 02

    Query body signals

    This capability standardizes your raw observations of a dog. You provide details on ear position and tail state to create a structured data set for analysis.

  3. 03

    Query safe approach

    This capability generates specific interaction guidelines. It uses the detected emotion and confidence level to tell you how to safely approach or interact with the dog.

Real work

What teams actually run

01

Safe Approaching

You use the safety guidelines to determine how close you can get to a dog you've just encountered.

02

Behavioral Assessment

You input a list of physical cues to identify if a dog is feeling fearful or confident.

03

Conflict Resolution

You analyze conflicting signals like a wagging tail paired with a hard stare to find the true emotional state.

04

Training Support

You use the confidence ratings to gauge how much stress a dog is under during a specific task.

Automate a task

Put Dog Body Language Decoder to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Dog Body Language Decoder works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Dog Body Language Decoder to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

694ms average. Fast in production.

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

Daily averagePeak 828ms
Oct 3Today
Fastest day
545ms
Slowest day
828ms
14-day trend
Slowing+22%

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

Guided setup for Claude? Set up Dog Body Language Decoder in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Dog Body Language Decoder owners hand off.

This MCP is built for anyone needing to interpret canine behavior through an AI interface to ensure safe interactions.

  • 01

    Animal Behaviorists

    They hand off raw behavioral observations to the AI to get structured emotional profiles.

  • 02

    Pet Care Professionals

    They use the safety guidelines to manage interactions with unfamiliar dogs.

  • 03

    Dog Trainers

    They use the emotional assessments to better understand a dog's stress levels during training sessions.

FAQ

Questions Dog Body Language Decoder owners ask.

  • 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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