MCP For Claude Marketplace
Cat Body Language Decoder

Cat Body Language Decoder MCP Connector for Claude

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Determine a cat's emotional state instantly by describing observable body cues like posture, ear angle, tail movement, and pupil size.

2 tools Official Updated Jun 28, 2026 Official Vinkius Partner
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Hook: Ever wondered what your cat is really thinking when they stare at you? Cat behavior can be complex, sending mixed signals that are impossible to decipher with just a glance.

Problem: Misinterpreting a subtle tail twitch or an ear position can lead to miscommunication--and sometimes, stress for both the pet and owner. The nuances of feline ethology require specialized analysis.

Mechanism: This MCP server provides deep decoding capabilities using established principles of cat behavior science. It uses two primary tools:

  1. query_emotional_state: Takes detailed observations (posture, ears, tail, pupils) and synthesizes them to give a single, probable emotional state (e.g., Relaxed, Playful, Fearful/Scared), along with a confidence score.
  2. query_confidence_and_ambiguity: Assesses the consistency of your input data against known feline patterns. This tool is crucial for detecting conflicting descriptors and advising you on what specific observation would improve the reading.

Advantage: By connecting these tools, you move beyond simple guessing. You get a structured, scientifically grounded interpretation that pinpoints not only the cat's dominant emotion but also why the system believes it--identifying key indicators and potential ambiguities.

cat-body-languagefeline-ethologyemotional-stateposture-analysisanimal-behavior

2 tools expose this connector's capabilities to your AI agent.

query_confidence_and_ambiguity

Detects conflicting descriptors and recommends what to observe next for a more accurate reading. Assess the consistency and ambiguity of cat body language observations

query_emotional_state

Returns confidence score and key indicators. Analyze a cat's body language to determine its dominant emotional state

See how to talk to your AI agent using Cat Body Language Decoder.

My cat is crouched low, ears are flat against his head, and he hasn't moved in five minutes. What's going on?

Running `query_emotional_state`... Analysis suggests a primary state of **Fearful/Scared** (Confidence: 0.91). Key indicators include the combination of crouching posture and flat ears, which strongly signals anxiety or withdrawal.

I'm not sure if my cat is playful or just curious. Posture: upright/symmetrical. Ears: pricked forward. Tail: slow, rhythmic sweep. Pupils: wide and round.

Running `query_confidence_and_ambiguity`... The descriptors are consistent but suggest high arousal. I recommend observing the tail movement more closely, as this could help differentiate between **Playful** anticipation and intense **Curiosity**. Try running that tool again with a clearer description of the tail's motion.

Can you analyze this? Posture: languid. Ears: relaxed/droopy. Tail: steady vertical hold. Pupils: narrow slits.

Running `query_emotional_state`... The data points toward a **Relaxed** state (Confidence: 0.95). This combination of languid body position and narrow pupils suggests deep comfort and low environmental threat.

For the most accurate reading, provide detailed descriptions for all variables: posture, ear angle, tail movement, and pupil size. The `query_emotional_state` tool synthesizes these inputs to give a comprehensive result. If you are unsure if your observations conflict, use the `query_confidence_and_ambiguity` tool first to identify conflicting descriptors.

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