Emotional Variability Score Connector for AI agents.
4 live capabilities
Quantify mood swings and emotional stability trends with data-driven metrics.
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Why people use Emotional Variability Score
Emotional Variability Score Analytics for Mental Health Research
With the Emotional Variability Score MCP, your AI agent does the heavy lifting. You can ask it to compare the volatility of two different weeks or calculate an instability index for a specific month. It turns your raw logs into a clear narrative about your emotional trends.
What Vinkius changes
You get a data-driven snapshot of emotional stability instead of just a list of feelings.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Tracking treatment progress
A researcher has 6 months of mood logs and needs to see if a new treatment is working.
- Real-world use case 02
Identifying mood swing frequency
A user wants to know if their mood swings are becoming more frequent.
- Real-world use case 03
Generating user dashboard data
A wellness app needs a summary for a user dashboard.
Complete set · 4capabilities
The complete Emotional Variability Score capability set.
These are the exact actions your AI can choose when you ask it to work with Emotional Variability Score.
01—04
4 capabilities in this set.
Part of 4 available through Emotional Variability Score.
- 01 Capability
Calculate mood amplitude
Finds the highest and lowest emotional points to show the total range of your moods. It identifies extremes for a period.
- 02 Capability
Calculate instability index
Calculates a score for how erratic or frequent your mood swings are in a specific window. It identifies the pattern type.
- 03 Capability
Get comprehensive emotional report
Creates a high-level summary of all emotional metrics for a chosen period. It includes stability status and ratings.
- 04 Capability
Compare weekly volatility
Compares two consecutive weeks to show if emotional instability is getting better or worse. It provides a clear delta and trend.
Set up in minutes
One URL. Then ask Emotional Variability Score to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Emotional Variability Score 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_N7di3dkK2tDQPvgFYqqwRAYXn17N5jKOyGnRbZpR/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 Emotional Variability Score, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Emotional Variability Score for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_N7di3dkK2tDQPvgFYqqwRAYXn17N5jKOyGnRbZpR/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 Emotional Variability Score URL.
- Step 03
Save and start
Save the connection and enable Emotional Variability Score in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"emotional-variability-score": {
"url": "https://edge.vinkius.com/vk_preview_N7di3dkK2tDQPvgFYqqwRAYXn17N5jKOyGnRbZpR/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 Emotional Variability Score
Open Agent mode in chat and ask: "Using Emotional Variability Score, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"emotional-variability-score": {
"url": "https://edge.vinkius.com/vk_preview_N7di3dkK2tDQPvgFYqqwRAYXn17N5jKOyGnRbZpR/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 Emotional Variability Score
Ask Copilot: "Using Emotional Variability Score, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"emotional-variability-score": {
"url": "https://edge.vinkius.com/vk_preview_N7di3dkK2tDQPvgFYqqwRAYXn17N5jKOyGnRbZpR/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 Emotional Variability Score
Open Cascade and ask: "Using Emotional Variability Score, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"emotional-variability-score": {
"url": "https://edge.vinkius.com/vk_preview_N7di3dkK2tDQPvgFYqqwRAYXn17N5jKOyGnRbZpR/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 Emotional Variability Score
Ask Cline: "Using Emotional Variability Score, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add emotional-variability-score --transport http "https://edge.vinkius.com/vk_preview_N7di3dkK2tDQPvgFYqqwRAYXn17N5jKOyGnRbZpR/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 Emotional Variability Score
Ask Claude: "Using Emotional Variability Score, show me...". 4 tools are ready
Where the request belongs
Work Emotional Variability Score can move forward.
This is for mental health researchers, wellness app developers, and data-driven individuals who need to quantify emotional states rather than just describing them.
Mental Health Researcher
Analyzing longitudinal data to identify patterns in patient mood swings.
Wellness App Developer
Building features that give users a stability score based on their daily logs.
Biofeedback Enthusiast
Correlating physical health metrics with emotional volatility over long periods.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Track anxiety patterns, identify triggers, and evaluate coping strategy effectiveness.
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Calculate MIDI frequencies, interval deviations, and tuning system comparisons.
Bring your own AI
Change the model, client or framework. Keep Emotional Variability Score connected.
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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 -
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Amazon Q -
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BoltAI -
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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 Emotional Variability Score.
The practical details behind the request, access and result.
Can I use Emotional Variability Score to see if my mood swings are getting better?
Yes, you can use the Connector to compare two different weeks. It will give you a clear delta and trend to show if your stability is improving or worsening over time.
How does the Emotional Variability Score MCP measure mood extremes?
It identifies your peak and valley scores for any period you choose. This helps you see the full range of your emotional experience, not just the average.
What kind of data does the Emotional Variability Score MCP need?
It works with mood logs, ratings, or any numerical representation of your emotional state. Your AI agent can then use these to calculate instability scores and volatility.
Can I get a high-level summary of my emotional health?
Yes, the Connector can generate a comprehensive report. It aggregates your data into a summary that includes your overall stability status, mood range, and a general rating.
Is the Emotional Variability Score MCP good for tracking long-term trends?
It is perfect for that. By using the volatility and instability capabilities, you can track how your emotional patterns shift over weeks or months.
How does this help with mental health research?
It allows researchers to move beyond qualitative descriptions. You can get specific metrics like the instability index to quantify how erratic mood swings are within specific date ranges.
What does the instability index measure?
The calculate_instability_index capability measures how frequently your mood changes direction, providing a score that represents the frequency of transitions between different emotional states.
How is amplitude calculated?
The calculate_mood_amplitude capability calculates the vertical distance between the highest (peak) and lowest (valley) mood scores recorded during your specified timeframe.
Can I compare two different weeks?
Yes, use the compare_weekly_volatility capability by providing the start dates for both the current and previous weeks to see if your emotional stability is trending up or down.
One connection away
Give your agent a direct line to Emotional Variability Score.
Connect Emotional Variability Score once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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