LinkedIn Formatting Density Scanner Connector for AI agents.
1 live capability
Optimize LinkedIn post scannability and mobile layout with data-driven visual analysis.
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Why people use LinkedIn Formatting Density Scanner
LinkedIn Formatting Density Scanner for Social Media Scannability
This Connector changes the game by letting you audit your drafts instantly. You can see exactly where your paragraph breaks fall and how much white space is actually there. You get a clear report on whether your content feels breezy or suffocating, letting you fix the layout before it ever goes live.
What Vinkius changes
You get a data-driven blueprint for how your text will actually appear to a scrolling user.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account Β· 6,100+ Connectors
- Real-world use case 01
Checking long-form thought pieces
A copywriter wants to see if a long-form thought piece is too dense for LinkedIn.
- Real-world use case 02
Auditing the See More break
A social media manager needs to check if a See More break happens in the middle of a key sentence using estimate_mobile_viewport_depth.
- Real-world use case 03
Agency content audits
An agency wants to audit a client's past posts to see which ones had the best visual rhythm and whitespace balance.
Complete set Β· 1capability
The complete LinkedIn Formatting Density Scanner capability set.
These are the exact actions your AI can choose when you ask it to work with LinkedIn Formatting Density Scanner.
01
1 capability in this set.
Part of 1 available through LinkedIn Formatting Density Scanner.
- 01 Capability
Analyze paragraph distribution
Identifies the structural rhythm of your text by distinguishing between single-sentence blocks and multi-sentence paragraphs. This helps you ensure your post isn't just a wall of text.
Set up in minutes
One URL. Then ask LinkedIn Formatting Density Scanner to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use LinkedIn Formatting Density Scanner from the conversation.
Choose your client
Live previewAdvanced clients IDE Β· CLI
Claude Β· Web + desktop
Connector URL Β· ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_8KwgUxgk970ysfEGahAag87GjJ7TAtw1lP7BNAft/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 Formatting Density Scanner, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable LinkedIn Formatting Density Scanner for the conversation.
ChatGPT Β· Web + desktop
Connector URL Β· ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_8KwgUxgk970ysfEGahAag87GjJ7TAtw1lP7BNAft/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 Formatting Density Scanner URL.
- Step 03
Save and start
Save the connection and enable LinkedIn Formatting Density Scanner in your conversation. Desktop may ask you to restart once.
Cursor Β· IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-formatting-density-scanner": {
"url": "https://edge.vinkius.com/vk_preview_8KwgUxgk970ysfEGahAag87GjJ7TAtw1lP7BNAft/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) β 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 Formatting Density Scanner
Open Agent mode in chat and ask: "Using LinkedIn Formatting Density Scanner, help me...". 1 tools available
VS Code Copilot Β· IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-formatting-density-scanner": {
"url": "https://edge.vinkius.com/vk_preview_8KwgUxgk970ysfEGahAag87GjJ7TAtw1lP7BNAft/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 Formatting Density Scanner
Ask Copilot: "Using LinkedIn Formatting Density Scanner, help me...". 1 tools available
Windsurf Β· IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-formatting-density-scanner": {
"url": "https://edge.vinkius.com/vk_preview_8KwgUxgk970ysfEGahAag87GjJ7TAtw1lP7BNAft/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings β 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 Formatting Density Scanner
Open Cascade and ask: "Using LinkedIn Formatting Density Scanner, help me...". 1 tools available
Cline Β· IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-formatting-density-scanner": {
"url": "https://edge.vinkius.com/vk_preview_8KwgUxgk970ysfEGahAag87GjJ7TAtw1lP7BNAft/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 Formatting Density Scanner
Ask Cline: "Using LinkedIn Formatting Density Scanner, help me...". 1 tools available
Claude Code Β· Terminal command
Advanced setup
claude mcp add linkedin-formatting-density-scanner --transport http "https://edge.vinkius.com/vk_preview_8KwgUxgk970ysfEGahAag87GjJ7TAtw1lP7BNAft/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 Formatting Density Scanner
Ask Claude: "Using LinkedIn Formatting Density Scanner, show me...". 1 tools are ready
Where the request belongs
Work LinkedIn Formatting Density Scanner can move forward.
This is for social media managers and copywriters who are tired of guessing how their posts look on mobile. It helps anyone who needs to ensure high-impact content remains readable in a crowded feed.
Social Media Manager
Checks daily posts for visual balance to ensure they don't get skipped by the audience.
Copywriter
Refines long-form thought pieces into scannable blocks for B2B LinkedIn clients.
Marketing Agency Owner
Audits client content to maintain a consistent and professional visual brand across all accounts.
Ghostwriter
Ensures executive posts aren't too dense or formatted poorly for mobile readers.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Analyze LinkedIn PDF carousels for readability, visual rhythm, and engagement.
LinkedIn Broetry Structure Validator
Analyze LinkedIn posts for adherence to the 'broetry' writing style using structural metrics.
LinkedIn Post Optimizer
Audit LinkedIn posts for truncation, hook strength, and engagement triggers.
Content Length Benchmark Analyzer
Analyze copy length, density, and structural scannability against established copywriting benchmarks.
LinkedIn Hook Truncation Analyzer
Analyze LinkedIn post hooks for visibility, truncation, and engagement potential.
Bring your own AI
Change the model, client or framework. Keep LinkedIn Formatting Density Scanner connected.
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Before you connect
Questions about LinkedIn Formatting Density Scanner.
The practical details behind the request, access and result.
How can the LinkedIn Formatting Density Scanner help my social media engagement?
It helps by ensuring your posts are easy to read. By identifying dense blocks and checking whitespace, it helps you create a layout that keeps people scrolling instead of skipping over a wall of text.
Can I use the LinkedIn Formatting Density Scanner to check my mobile layout?
Yes. It specifically estimates how much of your post will be visible on a mobile screen, helping you place your most important information before the See More button appears.
Does the LinkedIn Formatting Density Scanner detect weird fonts?
It does. It identifies Unicode styling elements that can sometimes appear as boxes or strange symbols on certain devices, helping you keep your content looking professional.
How does the LinkedIn Formatting Density Scanner measure whitespace?
It calculates the ratio of empty space to text lines. This tells you if your post feels too crowded or if you're using enough breathing room to make it readable.
Is the LinkedIn Formatting Density Scanner good for ghostwriters?
It's a great capability for ghostwriters. It allows you to provide clients with hard data on how their posts will look on mobile, ensuring the content is optimized for their specific audience.
What is the best way to use the LinkedIn Formatting Density Scanner for long posts?
Use it to audit long-form content to see where to place paragraph breaks. It helps you turn a long thought into a series of scannable blocks that maintain a good visual rhythm.
What metrics does this capability analyze?
The capability analyzes paragraph distribution (single vs multi-sentence blocks), whitespace ratio, Unicode styling density, emoji count, and estimated mobile scroll depth.
How is the whitespace ratio calculated?
It compares the number of completely empty lines to the total count of all line breaks in your provided text.
Can I use this for posts other than LinkedIn?
While optimized for LinkedIn's 'broetry' style, the structural analysis works on any text-based content where line breaks and paragraph spacing are significant.
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