LinkedIn Broetry Validator Connector for AI agents.
3 live capabilities
Audit LinkedIn posts for high-engagement broetry formatting.
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Why people use LinkedIn Broetry Validator
LinkedIn Broetry Structure Validator: Stop Posting Walls of Text
The LinkedIn Broetry Structure Validator changes that by giving you a structural audit of your draft. It looks for the specific rhythm of short sentences and white space that keeps readers moving down the page. You get a clear picture of your metrics so you can stop guessing and start posting content that actually gets read.
What Vinkius changes
You get a data-backed look at your post's readability before it goes live.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Auditing a client's draft
A ghostwriter pastes a client's rough draft into their AI client and asks for a broetry audit to see if it's ready for publication.
- Real-world use case 02
Batch checking content
A social media manager checks a batch of 10 posts for consistent white space to ensure the brand looks uniform.
- Real-world use case 03
Founder brand check
A founder wants to see if their personal brand post feels too corporate and uses the capability to check for clunky blocks.
Complete set · 3capabilities
The complete LinkedIn Broetry Validator capability set.
These are the exact actions your AI can choose when you ask it to work with LinkedIn Broetry Validator.
01—03
3 capabilities in this set.
Part of 3 available through LinkedIn Broetry Validator.
- 01 Capability
Detect formatting deviations
The detect_formatting_deviations capability finds spots where you have lumped sentences together. It helps you spot clunky blocks that break the flow.
- 02 Capability
Analyze post structure
The analyze_post_structure capability gives you the raw metrics for your post's layout. It is great for seeing exactly how many lines you are using.
- 03 Capability
Evaluate style adherence
The evaluate_style_adherence capability gives you a score on how well your post follows the broetry style. It is the fastest way to see if your draft is ready.
Set up in minutes
One URL. Then ask LinkedIn Broetry Validator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use LinkedIn Broetry Validator 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_JEo43oGHdK6uBdwWO07awvxIG1Y924Tpzhyiz6IY/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 Broetry Validator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable LinkedIn Broetry Validator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_JEo43oGHdK6uBdwWO07awvxIG1Y924Tpzhyiz6IY/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 Broetry Validator URL.
- Step 03
Save and start
Save the connection and enable LinkedIn Broetry Validator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-broetry-structure-validator": {
"url": "https://edge.vinkius.com/vk_preview_JEo43oGHdK6uBdwWO07awvxIG1Y924Tpzhyiz6IY/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 Broetry Validator
Open Agent mode in chat and ask: "Using LinkedIn Broetry Validator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-broetry-structure-validator": {
"url": "https://edge.vinkius.com/vk_preview_JEo43oGHdK6uBdwWO07awvxIG1Y924Tpzhyiz6IY/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 Broetry Validator
Ask Copilot: "Using LinkedIn Broetry Validator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-broetry-structure-validator": {
"url": "https://edge.vinkius.com/vk_preview_JEo43oGHdK6uBdwWO07awvxIG1Y924Tpzhyiz6IY/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 Broetry Validator
Open Cascade and ask: "Using LinkedIn Broetry Validator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-broetry-structure-validator": {
"url": "https://edge.vinkius.com/vk_preview_JEo43oGHdK6uBdwWO07awvxIG1Y924Tpzhyiz6IY/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 Broetry Validator
Ask Cline: "Using LinkedIn Broetry Validator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add linkedin-broetry-structure-validator --transport http "https://edge.vinkius.com/vk_preview_JEo43oGHdK6uBdwWO07awvxIG1Y924Tpzhyiz6IY/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 Broetry Validator
Ask Claude: "Using LinkedIn Broetry Validator, show me...". 3 tools are ready
Where the request belongs
Work LinkedIn Broetry Validator can move forward.
This is for content managers, ghostwriters, and personal branding experts who need to maintain a specific visual rhythm for social media. It solves the problem of posts looking like dense walls of text that people skip over.
Content Manager
They use this to ensure every team member follows the same formatting rules for a unified brand voice.
Ghostwriter
They use this to check if a client's draft hits the right broetry rhythm before they send it for approval.
Personal Branding Expert
They use this to make sure their clients' posts are optimized for mobile scrolling and high readability.
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 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 Scannability & Reading Time Scorer
Calculate exact scannability metrics for LinkedIn feeds, including reading time and mobile viewport impact.
LinkedIn Engagement Scorer
Quantify the effectiveness of LinkedIn post Call-to-Actions (CT0As) and engagement triggers in text.
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 Broetry Validator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
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Void -
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Vercel AI SDK
Before you connect
Questions about LinkedIn Broetry Validator.
The practical details behind the request, access and result.
What is LinkedIn broetry?
Broetry is a high-engagement writing style on LinkedIn that uses very short sentences and lots of white space to make content easy to skim on mobile devices.
How does the LinkedIn Broetry Structure Validator help my reach?
It helps your reach by ensuring your content is readable. When people can easily skim your posts without seeing walls of text, they are more likely to stay engaged and read to the end.
Can I use this for Twitter or other platforms?
While it's optimized for LinkedIn's specific 'broetry' style, you can use it to audit any short-form social media content that relies on a punchy, line-break-heavy rhythm.
How do I check my formatting quickly?
Just paste your draft into your AI client and ask it to run a structural audit. The capability will instantly identify clunky blocks and give you a style score.
Does the LinkedIn Broetry Structure Validator rewrite my posts?
No, it doesn't rewrite your content. It provides an analysis of your current structure so you can make the necessary edits yourself to match your desired style.
Is this for personal brands?
Yes, it is perfect for personal brands. It helps you maintain a consistent visual voice across all your posts, ensuring your content always looks professional and polished.
What is 'broetry'?
'Broetry' refers to a specific LinkedIn writing style characterized by short, punchy sentences and significant use of whitespace to drive engagement through vertical scrolling.
How does the capability detect deviations?
The detect_formatting_deviations capability scans for paragraphs containing three or more sentences, which indicates a departure from the single-sentence paragraph standard of broetry.
Can I use this for any text?
While it works on any text, the metrics and adherence scores are specifically optimized for analyzing LinkedIn post structures.
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Give your agent a direct line to LinkedIn Broetry Validator.
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