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Connect Mood Pattern Detector to ChatGPT, Claude and Gemini

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 your mood logs into actionable emotional insights.

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 Mood Pattern Detector.

  1. 01

    Evaluate activity impact

    This capability measures how a specific variable, such as sleep or exercise, influences your mood levels. It compares your emotional state on days you performed an activity against days you didn't.

  2. 02

    Analyze weekly cycle

    This capability identifies if specific days of the week correlate with better or worse moods. It helps you spot weekly trends like a consistent Monday slump.

  3. 03

    Identify mood anomalies

    This capability flags specific dates where your mood was significantly different from your usual baseline. It highlights sudden spikes or drops that stand out from your normal patterns.

Real work

What teams actually run

01

Identifying the Monday Slump

Use the weekly cycle capability to see if your work week starts with a consistent dip in mood.

02

Validating Exercise Benefits

Check if your workouts are actually improving your emotional state using activity impact analysis.

03

Spotting Emotional Outliers

Find specific dates where your mood was unusually high or low to investigate potential triggers.

04

Sleep and Mood Correlation

Analyze how changes in your sleep patterns influence your daily emotional baseline.

Automate a task

Put Mood Pattern Detector 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

Mood Pattern Detector 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 Mood Pattern Detector 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

712ms average. Fast in production.

Mood Pattern Detector is checked daily against the live service.

Daily averagePeak 876ms
Oct 3Today
Fastest day
540ms
Slowest day
876ms
14-day trend
Slowing+9%

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 Mood Pattern Detector, so you can see the experience inside your AI.

It does not authenticate your account with Mood Pattern Detector. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Mood Pattern Detector Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_ZCuceq86hBITNbpAViGII3gpOVbb3AwuDqYgNjUi/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 — Mood Pattern Detector capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "mood-pattern-detector-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ZCuceq86hBITNbpAViGII3gpOVbb3AwuDqYgNjUi/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 Mood Pattern Detector in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Mood Pattern Detector owners hand off.

This MCP is for anyone tracking personal wellness data who wants to move beyond simple logging and into actual analysis.

  • 01

    Wellness Enthusiasts

    People who log daily habits and moods to optimize their mental health.

  • 02

    Data-Driven Individuals

    Users who want to hand off their raw emotional logs to an agent for pattern recognition.

  • 03

    Health Coaches

    Professionals who use client mood and activity data to identify behavioral triggers.

FAQ

Questions Mood Pattern Detector owners ask.

  • 01

    How do I use this MCP with my AI client?

    You connect once to Vinkius, and then the capabilities become available in your compatible client like Claude, Cursor, or Windsurf.

  • 02

    What kind of data does this MCP need?

    It needs your historical mood logs and any lifestyle variables, such as exercise or sleep, that you want to correlate with your mood.

  • 03

    Can I see how my sleep affects my mood?

    Yes, you can use the evaluate_activity_impact capability to measure how sleep or other recorded variables influence your emotional state.

  • 04

    Will it tell me if my mood is unusual?

    Yes, the identify_mood_anomalies capability is designed to flag dates where your mood was significantly different from your normal baseline.

  • 05

    Does it work with any AI?

    It works with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 06

    How does the detector identify weekly patterns?

    The analyze_weekly_pattern capability calculates the average mood score for each day of the week present in your logs and identifies significant differences between days.

  • 07

    Can I analyze specific activities like exercise or sleep?

    Yes, using evaluate_activity_impact, you can provide the name of any recorded variable to see its correlation with your mood levels.

  • 08

    What constitutes a mood anomaly?

    An anomaly is flagged by identify_mood_anomalies when a specific day's mood score deviates from your historical baseline beyond a defined sensitivity threshold.

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