Cognitive Load Estimator Connector for AI agents.
3 live capabilities
Get data-driven workload management and burnout prevention for your team.
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Why people use Cognitive Load Estimator
Cognitive Load Estimator for Burnout Prevention in High-Pressure Teams
This Connector changes that by turning those abstract feelings into a concrete score. You tell your agent your task count and hours, and it gives you a clear picture of your strain. You get a specific list of actions, like which tasks to delegate or where to find some rest, so you can stay productive without hitting a wall.
What Vinkius changes
You get a clear roadmap for reducing mental strain based on your actual workload.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Identifying burnout risks
A project manager feels overwhelmed by 20 tasks and asks their agent to check if they're at risk of burning out.
- Real-world use case 02
Analyzing stress sources
A lead engineer wants to know why they feel drained and uses the capability to see if interpersonal friction is the cause.
- Real-world use case 03
Checking capacity for new work
A freelancer wants to see if they have the mental bandwidth to take on a new client based on their current score.
Complete set · 3capabilities
The complete Cognitive Load Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with Cognitive Load Estimator.
01—03
3 capabilities in this set.
Part of 3 available through Cognitive Load Estimator.
- 01 Capability
Assess burnout risk
This capability calculates the probability of burnout based on your current task density and hours worked. It helps you see if your pace is sustainable before you hit a breaking point.
- 02 Capability
Screen friction impact
Use this to measure how much stress is coming from interpersonal friction or difficult decisions. It quantifies the hidden weight of social and mental hurdles.
- 03 Capability
Estimate cognitive load
This capability provides a precise score of your current mental strain based on your active workload. It gives you a baseline to understand your real-time brain capacity.
Set up in minutes
One URL. Then ask Cognitive Load Estimator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Cognitive Load Estimator 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_xtaT80a0kyDdMLfXP53wZR19iAQXXMgAtoIUemq0/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 Cognitive Load Estimator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Cognitive Load Estimator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_xtaT80a0kyDdMLfXP53wZR19iAQXXMgAtoIUemq0/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 Cognitive Load Estimator URL.
- Step 03
Save and start
Save the connection and enable Cognitive Load Estimator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"cognitive-load-estimator": {
"url": "https://edge.vinkius.com/vk_preview_xtaT80a0kyDdMLfXP53wZR19iAQXXMgAtoIUemq0/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 Cognitive Load Estimator
Open Agent mode in chat and ask: "Using Cognitive Load Estimator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"cognitive-load-estimator": {
"url": "https://edge.vinkius.com/vk_preview_xtaT80a0kyDdMLfXP53wZR19iAQXXMgAtoIUemq0/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 Cognitive Load Estimator
Ask Copilot: "Using Cognitive Load Estimator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"cognitive-load-estimator": {
"url": "https://edge.vinkius.com/vk_preview_xtaT80a0kyDdMLfXP53wZR19iAQXXMgAtoIUemq0/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 Cognitive Load Estimator
Open Cascade and ask: "Using Cognitive Load Estimator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"cognitive-load-estimator": {
"url": "https://edge.vinkius.com/vk_preview_xtaT80a0kyDdMLfXP53wZR19iAQXXMgAtoIUemq0/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 Cognitive Load Estimator
Ask Cline: "Using Cognitive Load Estimator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add cognitive-load-estimator --transport http "https://edge.vinkius.com/vk_preview_xtaT80a0kyDdMLfXP53wZR19iAQXXMgAtoIUemq0/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 Cognitive Load Estimator
Ask Claude: "Using Cognitive Load Estimator, show me...". 3 tools are ready
Where the request belongs
Work Cognitive Load Estimator can move forward.
This is for the high-output professional who feels constantly overwhelmed but can't pinpoint why. It's for anyone managing complex projects where the mental weight of decisions and conflicts is starting to impact their daily focus.
Project Manager
Manages multiple workstreams and needs to see which projects are creating the most decision-based pressure.
Software Engineer
Handles deep-focus tasks while juggling constant context switching and technical hurdles.
Executive Lead
Balances high-level strategy with the friction of interpersonal team conflicts and high-stakes decisions.
Freelancer
Balances multiple clients and needs to know if they have the mental bandwidth to take on new work.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsPomodoro Mental Health Tracker
Prevent burnout by adapting focus cycles with mandatory active breaks, ensuring sustained mental energy throughout your workday.
Recovery Time Planner
Calculate estimated recovery duration and progressive weekly plans based on burnout levels and mitigation strategies.
Fatigue Accumulation Tracker
Monitor sleep debt, estimate cognitive impact, and calculate recovery timelines.
Burnout Detector
Assess burnout risk using the Maslach Burnout Inventory (MBI) model.
Stress Load Scorer
Calculate cumulative psychological stress and health risk using the Holmes-Rahe Scale.
PSS-10 Stress Assessment
Calculate and analyze perceived stress levels using the PSS-10 scale.
Bring your own AI
Change the model, client or framework. Keep Cognitive Load Estimator 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 -
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 Cognitive Load Estimator.
The practical details behind the request, access and result.
What does the Cognitive Load Estimator do for my daily work?
It gives you a clear picture of your mental strain by looking at your actual workload. Instead of just guessing how tired you are, it provides a score based on things like your task count and hours worked, then suggests ways to lighten the load.
How can I use the Cognitive Load Estimator to avoid burnout?
It flags when your current pace is becoming unsustainable. By checking your task density and work hours regularly, it can identify burnout risks before you hit a wall and suggest rest or delegation.
Does the Cognitive Load Estimator help with team conflicts?
Yes, it can. It specifically looks at interpersonal friction and unresolved conflicts as major sources of mental strain. It helps you see how much these 'soft' issues are actually draining your energy.
Can the Cognitive Load Estimator tell me what to delegate?
Yes, it identifies specific actions like delegation and automation. Based on your current load, it can suggest which parts of your work should be handed off to others or handled by software.
How accurate is the Cognitive Load Estimator's score?
The score is based on four primary vectors: active tasks, pending decisions, unresolved conflicts, and hours worked. It provides a data-driven look at your capacity rather than a simple subjective feeling.
Is the Cognitive Load Estimator good for project managers?
It's a great fit for managers who need to balance multiple workstreams. It helps them see where the pressure is coming from so they can make better decisions about team priorities and mediation.
How does the capability calculate cognitive load?
The estimate_cognitive_load capability weighs active tasks, pending decisions, and unresolved conflicts. Work hours act as a multiplier that increases the impact of these factors if they exceed standard thresholds.
Can I use this to prevent burnout?
Yes. By using assess_burnout_risk, you can identify high-density workload patterns before they lead to exhaustion, allowing for proactive interventions.
What are the mitigation strategies provided?
The capability suggests specific actions like Delegation (to reduce task count), Automation (to resolve decisions), Mediation (to address conflicts), and Rest (to recover capacity).
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