LinkedIn Hook Analyzer Connector for AI agents.
3 live capabilities
Ensure your LinkedIn content stays visible and engaging before the See more cutoff.
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Why people use LinkedIn Hook Analyzer
LinkedIn Hook Truncation Analyzer for Social Media Visibility
This capability changes the game by checking your text against actual device limits. Your agent can now tell you exactly where the cutoff happens and give you a score on how well your hook actually stops the scroll. You get to know if your copy works before it goes live.
What Vinkius changes
You get a data-backed preview of how your LinkedIn content actually performs on different screens.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Mobile Optimization Check
A creator wants to know if their 200-character hook is too long for an iPhone.
- Real-world use case 02
A/B Testing Hook Styles
A marketer wants to compare two different hook styles, like a Question versus a Statistic, for the same post to see which scores higher.
- Real-world use case 03
Batch Content Audit
An agency is drafting 30 posts at once and needs to verify every single one for truncation using analyze_truncation_metrics.
Complete set · 3capabilities
The complete LinkedIn Hook Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with LinkedIn Hook Analyzer.
01—03
3 capabilities in this set.
Part of 3 available through LinkedIn Hook Analyzer.
- 01 Capability
Analyze truncation metrics
Tells you if your hook will be visible on specific devices and calculates formatting density. This helps you avoid hidden content.
- 02 Capability
Evaluate scroll stopper score
Gives you a numerical score for how well your hook grabs attention based on rhythm. Use it to quantify your copy's impact.
- 03 Capability
Identify hook classification
Categorizes your opening line into types like Question, Statistic, or Listicle. This helps you diversify your content style.
Set up in minutes
One URL. Then ask LinkedIn Hook Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use LinkedIn Hook Analyzer 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_mvJI1qh2xMBKY7wH0SIUuItUznm91tZ8OOfOSSTZ/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 Hook Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable LinkedIn Hook Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_mvJI1qh2xMBKY7wH0SIUuItUznm91tZ8OOfOSSTZ/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 Hook Analyzer URL.
- Step 03
Save and start
Save the connection and enable LinkedIn Hook Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-hook-truncation-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_mvJI1qh2xMBKY7wH0SIUuItUznm91tZ8OOfOSSTZ/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 Hook Analyzer
Open Agent mode in chat and ask: "Using LinkedIn Hook Analyzer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-hook-truncation-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_mvJI1qh2xMBKY7wH0SIUuItUznm91tZ8OOfOSSTZ/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 Hook Analyzer
Ask Copilot: "Using LinkedIn Hook Analyzer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-hook-truncation-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_mvJI1qh2xMBKY7wH0SIUuItUznm91tZ8OOfOSSTZ/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 Hook Analyzer
Open Cascade and ask: "Using LinkedIn Hook Analyzer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"linkedin-hook-truncation-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_mvJI1qh2xMBKY7wH0SIUuItUznm91tZ8OOfOSSTZ/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 Hook Analyzer
Ask Cline: "Using LinkedIn Hook Analyzer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add linkedin-hook-truncation-analyzer --transport http "https://edge.vinkius.com/vk_preview_mvJI1qh2xMBKY7wH0SIUuItUznm91tZ8OOfOSSTZ/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 Hook Analyzer
Ask Claude: "Using LinkedIn Hook Analyzer, show me...". 3 tools are ready
Where the request belongs
Work LinkedIn Hook Analyzer can move forward.
This is for social media managers and copywriters who need to ensure their LinkedIn content doesn't get cut off. It solves the frustration of posts looking great on a laptop but broken on a phone.
Social Media Manager
Checking 10+ posts a day to ensure they don't look broken on mobile.
Copywriter
Validating hook variety for clients without manual character counting.
Content Creator
Making sure their big reveal isn't hidden by a See more link.
Marketing Agency Owner
Standardizing hook quality across multiple client accounts.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsLinkedIn Post Optimizer
Audit LinkedIn posts for truncation, hook strength, and engagement triggers.
LinkedIn Mention and Tag Distribution Checker
Quantify the strategic placement of @mentions and #hashtags in LinkedIn posts.
LinkedIn Engagement Scorer
Quantify the effectiveness of LinkedIn post Call-to-Actions (CT0As) and engagement triggers in text.
LinkedIn Scannability & Reading Time Scorer
Calculate exact scannability metrics for LinkedIn feeds, including reading time and mobile viewport impact.
LinkedIn Engagement Prover
AI agents write LinkedIn posts that get zero engagement. This capability forces scroll-stopping hooks, eliminates bait tactics, ensures authentic voice with save-worthy value, optimizes format for the 2026 algorithm, and prevents algorithm violations. Built from deep research on LinkedIn 360Brew.
LinkedIn Link Penalty and Placement Analyzer
Analyzes LinkedIn post text to identify external link placement risks and bypass phrase detection.
Bring your own AI
Change the model, client or framework. Keep LinkedIn Hook Analyzer 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 LinkedIn Hook Analyzer.
The practical details behind the request, access and result.
How does the LinkedIn Hook Truncation Analyzer help with mobile views?
It checks character and pixel width to tell you exactly where the See more button will appear on different screens. This ensures your main point isn't hidden on mobile devices.
Can it tell me if my hook is a listicle?
Yes, the LinkedIn Hook Truncation Analyzer identifies specific patterns like Listicles, Questions, and Statistics to help you vary your content.
What is a scroll-stopper score?
It's a numerical value the LinkedIn Hook Truncation Analyzer gives based on your punctuation and sentence rhythm. It helps you see if your hook is punchy enough to stop a user from scrolling.
Does this capability work for other social platforms?
It is specifically tuned for LinkedIn's unique truncation rules and hook styles, making it the best choice for LinkedIn-specific content strategy.
How do I use it to improve my engagement?
You can ask your agent to analyze your draft and provide a score to help you refine your copy. It gives you data-backed feedback before you ever hit publish.
How does the truncation analysis work?
The analyze_truncation_metrics capability checks your text against LinkedIn's specific limits: approximately 210 characters for desktop and 150 characters for mobile, providing exact counts and estimated pixel width.
Can it identify different types of hooks?
Yes, using identify_hook_classification, the capability detects if your post starts with a Question, Statistic, Listicle, Story Setup, or Contrarian hook based on structural patterns.
What is the scroll-stopper score?
The evaluate_scroll_stopper_score capability calculates a score based on punctuation diversity and sentence fragment rhythm, helping you understand how effectively your hook interrupts the user's scroll.
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Give your agent a direct line to LinkedIn Hook Analyzer.
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