Twitter Hook Truncation Analyzer

Twitter Hook Truncation Analyzer MCP Connector for Claude

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Analyze X/Twitter post truncation, hook types, and engagement scores.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

The Twitter Hook Truncation Analyzer is a precision utility for evaluating the structural and rhetorical effectiveness of X (formerly Twitter) posts. Using tools like analyze_truncation, classify_hook, and calculate_scroll_stopper, you can determine exactly where a post will be truncated, identify if your opening uses a question, story, or statistic hook, and calculate a 'scroll-stopper' score based on punctuation variance and fragment density. It is designed to help creators optimize their content for the platform's 280-character limit and feed preview mechanics.

twitterxcontent-strategywriting-toolsengagementanalytics

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

analyze_truncation

Analyze physical and</em> structural boundaries of a post

calculate_scroll_stopper

Quantify the engagement potential of a post's linguistic structure

classify_hook

Classify the rhetorical strategy used in a post's hook

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

Analyze this post for truncation: 'Why is everyone talking about MCP? It is the future of AI agents. 1/5'

Character count: 72. Breakpoint index: 72 (no truncation). Hook type detected: question.

What is the scroll stopper score for: 'Stop scrolling! The secret to viral tweets is simple. Use fragments. Use punchy lines.'

Total Score: 0.85. Punctuation Variance: 0.6. Fragment Density: 0.9. Rating: High.

Classify the hook in this text: 'I spent 100 hours studying X algorithms so you don't have to.'

Detected Type: statistic. Confidence Score: 0.92.

The `analyze_truncation` tool calculates character counts, estimates pixel width using a weighted system, and identifies the exact breakpoint where 'Show more' appears.

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