Cognitive Load Scorer Connector for AI agents.
3 live capabilities
Audit text complexity and readability scores for clearer documentation.
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Why people use Cognitive Load Scorer
Cognitive Load Scorer for UX Writing and Readability Audits
This Connector changes that by giving you a measurable score for cognitive friction. You can feed your copy into your AI client and get a breakdown of vocabulary difficulty and memory pressure. You get a clear map of where the text becomes a hurdle.
What Vinkius changes
You get a data-backed audit of how hard your text is to process.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Simplifying onboarding flows
A UX writer wants to know if a new onboarding flow is too complex.
- Real-world use case 02
Auditing technical API docs
A tech writer has a dense paragraph about a new API.
- Real-world use case 03
Checking educational materials
An educator wants to simplify a textbook chapter.
Complete set · 3capabilities
The complete Cognitive Load Scorer capability set.
These are the exact actions your AI can choose when you ask it to work with Cognitive Load Scorer.
01—03
3 capabilities in this set.
Part of 3 available through Cognitive Load Scorer.
- 01 Capability
Evaluate lexical difficulty
This capability checks the difficulty of the words used in a text. It helps you see if your vocabulary is too dense for your audience.
- 02 Capability
Analyze syntactic structure
This capability breaks down sentence construction. It identifies complex grammar that might cause a reader to lose their place.
- 03 Capability
Calculate working memory load
This capability measures how much information a reader has to hold in their head at once. It's great for checking if instructions are too long.
Set up in minutes
One URL. Then ask Cognitive Load Scorer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Cognitive Load Scorer 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_1KOk7RIHolegTPgiDAmHVbg9WXzxAjAtmJSywT4M/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 Scorer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Cognitive Load Scorer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_1KOk7RIHolegTPgiDAmHVbg9WXzxAjAtmJSywT4M/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 Scorer URL.
- Step 03
Save and start
Save the connection and enable Cognitive Load Scorer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"cognitive-load-scorer": {
"url": "https://edge.vinkius.com/vk_preview_1KOk7RIHolegTPgiDAmHVbg9WXzxAjAtmJSywT4M/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 Scorer
Open Agent mode in chat and ask: "Using Cognitive Load Scorer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"cognitive-load-scorer": {
"url": "https://edge.vinkius.com/vk_preview_1KOk7RIHolegTPgiDAmHVbg9WXzxAjAtmJSywT4M/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 Scorer
Ask Copilot: "Using Cognitive Load Scorer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"cognitive-load-scorer": {
"url": "https://edge.vinkius.com/vk_preview_1KOk7RIHolegTPgiDAmHVbg9WXzxAjAtmJSywT4M/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 Scorer
Open Cascade and ask: "Using Cognitive Load Scorer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"cognitive-load-scorer": {
"url": "https://edge.vinkius.com/vk_preview_1KOk7RIHolegTPgiDAmHVbg9WXzxAjAtmJSywT4M/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 Scorer
Ask Cline: "Using Cognitive Load Scorer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add cognitive-load-scorer --transport http "https://edge.vinkius.com/vk_preview_1KOk7RIHolegTPgiDAmHVbg9WXzxAjAtmJSywT4M/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 Scorer
Ask Claude: "Using Cognitive Load Scorer, show me...". 3 tools are ready
Where the request belongs
Work Cognitive Load Scorer can move forward.
This is for writers and designers who need to ensure their content is actually understandable. It's for the people responsible for clarity in high-stakes environments like technical docs or public-facing interfaces.
UX Writer
Uses this to ensure button labels, tooltips, and onboarding flows are instantly understandable for users.
Technical Writer
Audits complex API documentation to make sure it doesn't overwhelm new developers with dense syntax.
Accessibility Specialist
Checks content against strict readability standards to ensure it's accessible to diverse audiences.
Content Strategist
Maintains a consistent brand voice by identifying and removing unnecessary linguistic complexity.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Readability Score Analyzer
Analyze text complexity using standard linguistic formulas like Flesch-Kincaid and SMOG.
Text Readability Scorer
Calculate mathematically accurate readability metrics (Flesch-Kincaid, Gunning Fog, SMOG) for any text. Stop relying on AI 'feelings'. get exact US grade levels for SEO and compliance.
Deterministic Readability Scorer
Equip your AI with strict linguistic math. Calculate Flesch-Kincaid, Gunning Fog indexes, and exact reading times deterministically.
Readability & SEO Scorer
Audit text for SEO performance using Flesch-Kincaid, sentence density, and passive voice analysis.
FAQ Clarity Analyzer
Audit FAQ content for naturalness, complexity, and readability consistency.
Sentence Rhythm Analyzer
Analyze prose rhythm, sentence length variance, and structural scannability.
Bring your own AI
Change the model, client or framework. Keep Cognitive Load Scorer 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 Scorer.
The practical details behind the request, access and result.
What is Cognitive Load Scorer?
It's an Connector that measures how hard it is for a human to process your text. It looks at vocabulary, grammar, and memory load to find friction.
How does it help with UX writing?
It gives you data on whether your UI copy is too dense. You can see exactly where a user might get stuck on a button or a label.
Can I use it for technical docs?
Yes, it's perfect for auditing API guides. It helps you find where the syntax becomes too complex for a new user.
Does it just give a readability score?
It's more detailed than a simple grade level. It breaks down the specific reasons for the difficulty, like sentence structure or memory load.
How do I use it with my agent?
Just give your AI client a block of text and ask it to analyze the cognitive load. It will return a breakdown of the linguistic complexity.
Is it good for accessibility?
Yes, it helps you ensure content is accessible to people with different cognitive needs by highlighting high-friction areas.
What does the `analyze_syntactic_structure` capability measure?
It determines structural effort by calculating maximum nested clause depth and negation density within your text.
How is lexical difficulty evaluated?
The evaluate_lexical_difficulty capability compares words against lists of concrete and abstract terms, while also measuring the density of jargon and acronyms.
Can I use this to check for reader fatigue?
Yes, by using calculate_working_memory_load, you can identify high-pressure structures like long lists that increase the risk of cognitive overload.
One connection away
Give your agent a direct line to Cognitive Load Scorer.
Connect Cognitive Load Scorer once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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