Emotion Wheel Classifier Connector for AI agents.
3 live capabilities
Map raw text to Plutchik's Wheel of Emotions for deep sentiment analysis.
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Why people use Emotion Wheel Classifier
Emotion Wheel Classifier for Deep Sentiment Analysis
This Connector changes that. When your agent processes a comment, it identifies the specific node on Plutchik's Wheel. You get the exact emotion, the intensity level, and the family it belongs to in one go.
What Vinkius changes
You get structured, psychologically grounded emotion data instead of vague sentiment labels.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Analyzing customer feedback
A brand gets 500 reviews.
- Real-world use case 02
Mapping a user journey
A UX designer asks the agent to find the emotional arc of a user story.
- Real-world use case 03
Content creation
A writer wants to know the emotional vibe of a script.
Complete set · 3capabilities
The complete Emotion Wheel Classifier capability set.
These are the exact actions your AI can choose when you ask it to work with Emotion Wheel Classifier.
01—03
3 capabilities in this set.
Part of 3 available through Emotion Wheel Classifier.
- 01 Capability
Explore emotional dyad
Calculate the complex emotion that results from combining two primary emotions. It is great for understanding nuanced feelings.
- 02 Capability
Get emotion spectrum
Show how a specific emotion changes as it gets stronger or weaker. Use this to understand emotional progression.
- 03 Capability
Analyze text emotion
Identify specific emotions, intensities, and families from raw text. This helps you categorize qualitative data quickly.
Set up in minutes
One URL. Then ask Emotion Wheel Classifier to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Emotion Wheel Classifier from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_yxyGf3CuwFLbbJVPv3NF70WIQsKf6zvqEPAC9v0i/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Emotion Wheel Classifier, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Emotion Wheel Classifier for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_yxyGf3CuwFLbbJVPv3NF70WIQsKf6zvqEPAC9v0i/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Emotion Wheel Classifier URL.
- Step 03
Save and start
Save the connection and enable Emotion Wheel Classifier in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"emotion-wheel-classifier": {
"url": "https://edge.vinkius.com/vk_preview_yxyGf3CuwFLbbJVPv3NF70WIQsKf6zvqEPAC9v0i/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Emotion Wheel Classifier
Open Agent mode in chat and ask: "Using Emotion Wheel Classifier, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"emotion-wheel-classifier": {
"url": "https://edge.vinkius.com/vk_preview_yxyGf3CuwFLbbJVPv3NF70WIQsKf6zvqEPAC9v0i/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Emotion Wheel Classifier
Ask Copilot: "Using Emotion Wheel Classifier, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"emotion-wheel-classifier": {
"url": "https://edge.vinkius.com/vk_preview_yxyGf3CuwFLbbJVPv3NF70WIQsKf6zvqEPAC9v0i/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Emotion Wheel Classifier
Open Cascade and ask: "Using Emotion Wheel Classifier, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"emotion-wheel-classifier": {
"url": "https://edge.vinkius.com/vk_preview_yxyGf3CuwFLbbJVPv3NF70WIQsKf6zvqEPAC9v0i/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Emotion Wheel Classifier
Ask Cline: "Using Emotion Wheel Classifier, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add emotion-wheel-classifier --transport http "https://edge.vinkius.com/vk_preview_yxyGf3CuwFLbbJVPv3NF70WIQsKf6zvqEPAC9v0i/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Emotion Wheel Classifier
Ask Claude: "Using Emotion Wheel Classifier, show me...". 3 tools are ready
Where the request belongs
Work Emotion Wheel Classifier can move forward.
This is for researchers and developers who need to move past positive or negative labels into deep psychological analysis. It is for anyone handling large amounts of qualitative human data.
Sentiment Analyst
Analyzing thousands of customer reviews to find specific pain points and emotional drivers.
UX Researcher
Interpreting user interviews to map out emotional journeys and friction points.
Mental Health App Developer
Building capabilities that need to categorize user moods accurately for progress tracking.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Emotional Variability Score
Quantify emotional fluctuations, mood amplitude, and longitudinal stability.
Values Alignment Score
Measure the gap between your core values and your current life reality.
Persuasion Framework Scorer
Scans copy for structural and persuasive patterns using Cialdini's principles and copywriting frameworks.
Resilience Score Assessment
Quantify your psychological resilience and identify areas of strength or vulnerability.
Mood Pattern Detector
Identify recurring emotional trends and correlations between mood fluctuations and lifestyle variables.
Dog Body Language Decoder
Interprets dog body signals (posture, ears, tail, face) to determine emotional state and provides actionable safety guidelines for safe human interaction.
Bring your own AI
Change the model, client or framework. Keep Emotion Wheel Classifier connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Emotion Wheel Classifier.
The practical details behind the request, access and result.
What is the Emotion Wheel Classifier MCP?
It is a capability that lets your AI agent understand human feelings using Plutchik's Wheel of Emotions. It turns messy text into organized data like intensity and emotional families.
How does this help with customer reviews?
It goes beyond good or bad. It identifies specific feelings like frustration or contentment, helping you see exactly why customers feel the way they do.
Can it tell how strong an emotion is?
Yes, it identifies if a feeling is Low, Medium, or High intensity. This helps you prioritize which customer issues need the most immediate attention.
What is an emotional dyad?
It is a way to see what happens when two primary emotions mix. The Connector can calculate complex results, like how joy and trust become love.
Is this for psychology research?
Yes, it is perfect for researchers who need to map out emotional journeys or analyze qualitative data using a standard psychological model.
Does it work on any kind of text?
It works on any text description, including journal entries, social media posts, or transcripts, as long as they describe a human feeling.
How does the capability identify emotions?
The analyze_text_emotion capability interprets the weight and descriptors in your text to map it to a specific node on Plutchik's wheel, determining intensity levels like Low or High.
Can I see the progression of an emotion?
Yes, using get_emotion_spectrum, you can retrieve the three-tier intensity names (Low, Medium, High) for any primary emotion.
What are emotional dyads?
Dyads are complex emotions formed by combining two primary ones. The explore_emotional_dyad capability calculates the resulting state and its complexity.
One connection away
Give your agent a direct line to Emotion Wheel Classifier.
Connect Emotion Wheel Classifier once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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