LinkedIn Hook Truncation Analyzer

LinkedIn Hook Truncation Analyzer MCP Connector for Claude

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Analyze LinkedIn post hooks for visibility, truncation, and engagement potential.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

Maximize your LinkedIn engagement by ensuring your content is visible before the 'See more' cutoff. This MCP server provides specialized tools to analyze post openings: analyze_truncation_metrics calculates character and pixel-width density for desktop and mobile; identify_hook_classification detects patterns like Question, Statistic, or Listicle hooks; and evaluate_scroll_stopper_score measures punctuation variance and rhythm to estimate engagement potential.

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3 tools expose this connector's capabilities to your AI agent.

analyze_truncation_metrics

Determines if the post's hook will be visible on specific devices and calculates formatting density

evaluate_scroll_stopper_score

Calculates a numerical score representing the "scroll-stopping" and engagement potential of the hook

identify_hook_classification

Analyzes the text to determine which of the five specific LinkedIn hook types are being as used

See how to talk to your AI agent using LinkedIn Hook Truncation Analyzer.

Will my LinkedIn post be truncated on mobile? Here is the text: 'Stop wasting time on manual outreach. It is killing your productivity and costing you thousands in lost revenue every single month.'

The post exceeds the 150-character mobile limit. Visible text: 'Stop wasting time on manual outreach. It is killing your productivity and costing you thousands in lost...' (Truncated).

What type of hook am I using here: 'Did you know that 85% of LinkedIn users scroll past posts without reading the first line?'

The tool identified this as a Statistic hook with high confidence due to the presence of numerical data (85%).

Analyze the engagement potential of this opening: 'I used to hate cold calling. Then I found a system that changed everything.'

The scroll-stopper score is 78/100, driven by high punctuation variance and effective use of short sentence fragments.

The `analyze_truncation_metrics` tool 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.

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