Burnout Detector Connector for AI agents.
3 live capabilities
Quantify employee well-being and burnout risk using the MBI standard.
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Why people use Burnout Detector
Burnout Detector MBI Diagnostics for HR and Wellness
This Connector changes that by applying the Maslach Burnout Inventory standard to your data. You feed the raw scores to your agent, and it gives you a clear risk tier and a breakdown of the three core dimensions. You get a professional diagnostic instead of a pile of text.
What Vinkius changes
You get a standardized burnout risk score instead of just a pile of survey comments.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Prioritizing high-risk departments
HR has 500 survey responses and doesn't know which departments to prioritize.
- Real-world use case 02
Diagnosing employee detachment
A manager feels a team is checked out.
- Real-world use case 03
Quick wellness pulse checks
A wellness coach needs a quick pulse check for a client.
Complete set · 3capabilities
The complete Burnout Detector capability set.
These are the exact actions your AI can choose when you ask it to work with Burnout Detector.
01—03
3 capabilities in this set.
Part of 3 available through Burnout Detector.
- 01 Capability
Calculate burnout metrics
Converts raw survey scores into standardized burnout metrics. It helps your agent interpret numerical data correctly.
- 02 Capability
Get dimension health status
Checks the health of one specific burnout dimension at a time. This lets you see exactly where the problem lies.
- 03 Capability
Evaluate risk level
Calculates the overall burnout risk level based on all metrics. It gives you a clear Low to Severe rating.
Set up in minutes
One URL. Then ask Burnout Detector to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Burnout Detector 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_9v6zwnwwIEQhxPOsC74bjZ4NMIr76DDotkCET3qn/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 Burnout Detector, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Burnout Detector for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_9v6zwnwwIEQhxPOsC74bjZ4NMIr76DDotkCET3qn/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 Burnout Detector URL.
- Step 03
Save and start
Save the connection and enable Burnout Detector in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"burnout-detector": {
"url": "https://edge.vinkius.com/vk_preview_9v6zwnwwIEQhxPOsC74bjZ4NMIr76DDotkCET3qn/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 Burnout Detector
Open Agent mode in chat and ask: "Using Burnout Detector, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"burnout-detector": {
"url": "https://edge.vinkius.com/vk_preview_9v6zwnwwIEQhxPOsC74bjZ4NMIr76DDotkCET3qn/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 Burnout Detector
Ask Copilot: "Using Burnout Detector, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"burnout-detector": {
"url": "https://edge.vinkius.com/vk_preview_9v6zwnwwIEQhxPOsC74bjZ4NMIr76DDotkCET3qn/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 Burnout Detector
Open Cascade and ask: "Using Burnout Detector, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"burnout-detector": {
"url": "https://edge.vinkius.com/vk_preview_9v6zwnwwIEQhxPOsC74bjZ4NMIr76DDotkCET3qn/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 Burnout Detector
Ask Cline: "Using Burnout Detector, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add burnout-detector --transport http "https://edge.vinkius.com/vk_preview_9v6zwnwwIEQhxPOsC74bjZ4NMIr76DDotkCET3qn/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 Burnout Detector
Ask Claude: "Using Burnout Detector, show me...". 3 tools are ready
Where the request belongs
Work Burnout Detector can move forward.
HR directors who need to quantify employee well-being without relying on vibes, and wellness coaches who want to provide data-backed assessments to their clients.
HR Manager
Analyzing quarterly engagement surveys to spot high-risk departments before they see a spike in turnover.
Wellness Coach
Processing client self-assessments to create personalized recovery plans based on MBI metrics.
Team Lead
Checking in on team sentiment during high-pressure project cycles to see if exhaustion is hitting a critical level.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Recovery Time Planner
Calculate estimated recovery duration and progressive weekly plans based on burnout levels and mitigation strategies.
Cognitive Load Estimator
Quantify mental strain from workload metrics and get actionable mitigation strategies.
Resilience Score Assessment
Quantify your psychological resilience and identify areas of strength or vulnerability.
Pomodoro Mental Health Tracker
Prevent burnout by adapting focus cycles with mandatory active breaks, ensuring sustained mental energy throughout your workday.
Stress Load Scorer
Calculate cumulative psychological stress and health risk using the Holmes-Rahe Scale.
Retention Risk Scorer
Predict employee turnover risk and quantify the financial impact of attrition.
Bring your own AI
Change the model, client or framework. Keep Burnout Detector 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 Burnout Detector.
The practical details behind the request, access and result.
What is the Burnout Detector MCP?
It is a capability that lets your AI agent analyze survey data using the Maslach Burnout Inventory standard. It helps you turn raw numbers into clear risk levels for your team.
How does it use the MBI model?
It applies the Maslach Burnout Inventory framework to your data to check three specific areas: exhaustion, depersonalization, and personal accomplishment.
Can it help identify high-risk employees?
Yes, it provides a risk tier from Low to Severe. This makes it easy to spot which individuals or departments need immediate attention.
Does it work with my current survey data?
If you have numerical scores from a survey, your AI agent can feed those into this Connector to get a professional assessment.
What's the difference between the three dimensions?
Exhaustion is about feeling drained, depersonalization is about feeling detached from work, and accomplishment is about feeling like you're actually making progress.
How do I use it for team wellness?
You can ask your AI agent to analyze your team's survey results to identify trends and risk levels, helping you create targeted wellness plans.
Can I use it to track burnout over time?
Yes, by feeding in scores from different periods, you can see if your team's risk level is improving or getting worse.
What is the Burnout Detector?
It is a diagnostic capability based on the Maslach Burnout Inventory (MBI) that evaluates emotional exhaustion, depersonalization, and personal accomplishment.
How do I use the `calculate_burnout_metrics` capability?
Provide arrays of numerical scores for exhaustion, depersonalization, and accomplishment. The capability will return the average score for each dimension and an overall burnout index.
What does a 'High' risk level mean?
A High risk level indicates that visible depletion and cynicism are present, which can significantly impact work quality.
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