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Vinkius

Emotional Variability Score Connector for AI agents.

4 live capabilities

Quantify mood swings and emotional stability trends with data-driven metrics.

Live agent request Emotional Variability Score / Connector

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AI Agent

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.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

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

  1. 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.

  2. Real-world use case 02

    Identifying mood swing frequency

    A user wants to know if their mood swings are becoming more frequent.

  3. 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.

Capability set01 / 01

01—04

4 capabilities in this set.

Part of 4 available through Emotional Variability Score.

  1. 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.

  2. 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.

  3. 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.

  4. 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 preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_N7di3dkK2tDQPvgFYqqwRAYXn17N5jKOyGnRbZpR/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Emotional Variability Score, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Emotional Variability Score for the conversation.

Where the request belongs

Work Emotional Variability Score can move forward.

Built around the request

This is for mental health researchers, wellness app developers, and data-driven individuals who need to quantify emotional states rather than just describing them.

01

Mental Health Researcher

Analyzing longitudinal data to identify patterns in patient mood swings.

02

Wellness App Developer

Building features that give users a stability score based on their daily logs.

03

Biofeedback Enthusiast

Correlating physical health metrics with emotional volatility over long periods.

Bring your own AI

Change the model, client or framework. Keep Emotional Variability Score 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 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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