Twitter Virality and QT Bait Scorer

Twitter Virality and QT Bait Scorer MCP Connector for Claude

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Quantify the 'Quote Tweet' incentive and virality potential of a tweet using linguistic pattern matching.

2 tools Official Updated Oct 1, 2026 Official Vinkius Partner

The Twitter Virality and QT Bait Scorer uses deterministic language markers to identify the structural potential of a tweet to trigger Quote Tweets and high-engagement virality. By analyzing features like contrarian statement density, hot-take index, controversy quotient, and 'takes vs facts' ratio, it provides an objective metric for engagement prediction. Use analyze_virality to assess punctuation diversity and sentence variety, or use analyze_qt_bait to evaluate the provocation potential of a tweet.

twitterviralityengagementanalyticslinguistics

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

analyze_virality

Analyze a tweet for virality potential

analyze_qt_bait

Analyze a tweet for QT bait potential

See how to talk to your AI agent using Twitter Virality and QT Bait Scorer.

Analyze this tweet for virality: 'Unpopular opinion: the best way to work is remote. Actually, it's not even a choice.'

The tweet has a high virality score due to significant punctuation diversity and sentence variety.

Evaluate the QT bait potential of this tweet: 'I think we should always be honest. It is a fact that truth is essential.'

The tweet shows low provocation potential with a low density of contrarian markers and a high ratio of facts to takes.

Check the engagement score for: 'Wrong! You are completely mistaken about this topic.'

The tweet has a high provocation index and significant contrarian density.

The `analyze_virality` tool calculates scores based on punctuation diversity and sentence variety within the provided text.

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