LinkedIn Scannability Scorer Connector for AI agents.
4 live capabilities
Optimize LinkedIn content for mobile visibility and reader engagement.
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Why people use LinkedIn Scannability Scorer
LinkedIn Scannability & Reading Time Scorer for Mobile Content Optimization
This Connector changes the game by giving you the numbers before you post. You can instantly see where the viewport cuts off and how the rhythm of your sentences flows. You get a clear audit that tells you exactly where to trim or expand for maximum impact.
What Vinkius changes
You get a data-backed audit of your social media copy to ensure it actually gets read.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Mobile Visibility Audit
A social media manager wants to know if a long-form post is too heavy for mobile.
- Real-world use case 02
Ghostwriter Style Check
A ghostwriter wants to make sure a client's post is skimmable.
- Real-world use case 03
Keyword Hot Zone Check
A content strategist wants to see if their keywords are in the hot zone.
Complete set · 4capabilities
The complete LinkedIn Scannability Scorer capability set.
These are the exact actions your AI can choose when you ask it to work with LinkedIn Scannability Scorer.
01—04
4 capabilities in this set.
Part of 4 available through LinkedIn Scannability Scorer.
- 01 Capability
Estimate mobile viewport impact
Use this to see what percentage of your text is visible on a phone before the 'see more' prompt appears.
- 02 Capability
Analyze structural rhythm
This capability checks your post for walls of text and identifies areas that might be too dense for readers to scan quickly.
- 03 Capability
Check f pattern compliance
It verifies if your content follows the natural F-pattern reading behavior to ensure your key points catch the eye.
- 04 Capability
Get reading time
This capability calculates the estimated time a reader will spend on your post based on a standard reading speed.
Set up in minutes
One URL. Then ask LinkedIn Scannability Scorer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use LinkedIn Scannability 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_Atg8Lh3bSi7uvWsLNj7VOKYQqLwraYgIoRkyKTK8/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 LinkedIn Scannability Scorer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable LinkedIn Scannability Scorer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Atg8Lh3bSi7uvWsLNj7VOKYQqLwraYgIoRkyKTK8/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 LinkedIn Scannability Scorer URL.
- Step 03
Save and start
Save the connection and enable LinkedIn Scannability Scorer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-scannability-reading-time-scorer": {
"url": "https://edge.vinkius.com/vk_preview_Atg8Lh3bSi7uvWsLNj7VOKYQqLwraYgIoRkyKTK8/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 LinkedIn Scannability Scorer
Open Agent mode in chat and ask: "Using LinkedIn Scannability Scorer, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-scannability-reading-time-scorer": {
"url": "https://edge.vinkius.com/vk_preview_Atg8Lh3bSi7uvWsLNj7VOKYQqLwraYgIoRkyKTK8/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 LinkedIn Scannability Scorer
Ask Copilot: "Using LinkedIn Scannability Scorer, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-scannability-reading-time-scorer": {
"url": "https://edge.vinkius.com/vk_preview_Atg8Lh3bSi7uvWsLNj7VOKYQqLwraYgIoRkyKTK8/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 LinkedIn Scannability Scorer
Open Cascade and ask: "Using LinkedIn Scannability Scorer, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-scannability-reading-time-scorer": {
"url": "https://edge.vinkius.com/vk_preview_Atg8Lh3bSi7uvWsLNj7VOKYQqLwraYgIoRkyKTK8/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 LinkedIn Scannability Scorer
Ask Cline: "Using LinkedIn Scannability Scorer, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add linkedin-scannability-reading-time-scorer --transport http "https://edge.vinkius.com/vk_preview_Atg8Lh3bSi7uvWsLNj7VOKYQqLwraYgIoRkyKTK8/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 LinkedIn Scannability Scorer
Ask Claude: "Using LinkedIn Scannability Scorer, show me...". 4 tools are ready
Where the request belongs
Work LinkedIn Scannability Scorer can move forward.
This is for social media pros and content creators who need to move beyond 'vibes' to actual data. It solves the problem of writing great content that nobody actually sees because it's too dense or gets cut off on mobile.
Social Media Manager
They use this to audit high-volume content calendars to ensure every post hits the right scannability marks.
Content Marketer
They use this to verify that thought leadership pieces aren't too intimidating for a quick mobile scroll.
Copywriter
They use this to provide clients with hard metrics on content performance and readability.
Ghostwriter
They use this to make sure their clients' voices don't get lost in walls of text on mobile feeds.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
LinkedIn Formatting Density Scanner
Analyze LinkedIn post visual structure, whitespace ratio, and mobile scannability.
LinkedIn Engagement Scorer
Quantify the effectiveness of LinkedIn post Call-to-Actions (CT0As) and engagement triggers in text.
LinkedIn Document Carousel Parser
Analyze LinkedIn PDF carousels for readability, visual rhythm, and engagement.
LinkedIn Post Optimizer
Audit LinkedIn posts for truncation, hook strength, and engagement triggers.
LinkedIn Authority Signal Calculator
Quantify thought-leadership and authority markers in LinkedIn posts.
LinkedIn Broetry Structure Validator
Analyze LinkedIn posts for adherence to the 'broetry' writing style using structural metrics.
Bring your own AI
Change the model, client or framework. Keep LinkedIn Scannability Scorer connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
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Qodo -
Tabnine -
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Cherry Studio -
LibreChat -
TypingMind -
Chorus -
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LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about LinkedIn Scannability Scorer.
The practical details behind the request, access and result.
How does the LinkedIn Scannability & Reading Time Scorer help my engagement?
It gives you data on how people actually read your posts. By fixing walls of text and ensuring your best content isn't hidden behind 'see more' buttons, you keep people reading longer.
Can I use the LinkedIn Scannability & Reading Time Scorer to check my mobile view?
Yes. It predicts exactly what percentage of your text will be visible on a mobile screen before a user has to scroll or click for more.
What is the LinkedIn Scannability & Reading Time Scorer's reading time baseline?
It uses a standard 200 words per minute baseline to give you a realistic estimate of how long a human will spend on your content.
Does the LinkedIn Scannability & Reading Time Scorer find walls of text?
It analyzes your structural rhythm to identify dense blocks of text that might cause readers to skim past your important information.
How do I use the LinkedIn Scannability & Reading Time Scorer for keyword placement?
It checks your content against the F-pattern reading behavior to ensure your keywords land in the 'hot zones' where people look first.
Will the LinkedIn Scannability & Reading Time Scorer help with F-pattern reading?
It specifically scores your content to see if it follows the natural way eyes move across a screen, helping you place key info where it will be seen.
How is reading time calculated?
The get_reading_time capability calculates the total word count and divides it by a standard professional reading speed of 200 words per minute.
Can I check if my keywords are placed correctly?
Yes, use the check_f_pattern_compliance capability. It checks if your target keywords appear within the first three words of each paragraph to capture attention.
Does this help with mobile optimization?
Absolutely. The estimate_mobile_viewport_impact capability helps you understand how much of your post is visible on a phone screen without the user needing to scroll.
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