Narrative Structure Analyzer

Narrative Structure Analyzer MCP Connector for Claude

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Detect storytelling frameworks, tension ratios, and compositional quality in long-form copy.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

The Narrative Structure Analyzer connects AI agents to deep linguistic analysis of storytelling. Using tools like analyze_framework_alignment, calculate_narrative_balance, and assess_compositional_quality, it identifies if your text follows StoryBrand SB7, Hero's Journey, or Before-After-Bridge patterns. It provides concrete metrics on narrative tension, protagonist identity (customer vs. brand), sensory density, and pacing variance to help you optimize engagement.

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

analyze_framework_alignment

Identifies which storytelling framework the text follows

assess_compositional_quality

Calculates sensory density and pacing variance

calculate_narrative_balance

Evaluates the tension-resolution ratio and protagonist identity

See how to talk to your AI agent using Narrative Structure Analyzer.

Analyze this text for StoryBrand SB7 alignment: 'Meet John. He struggled with messy spreadsheets until he found our tool, which simplified his life.'

Detected Framework: StoryBrand SB7. Completeness Score: 0.6. Stages present: Character, Problem, Guide, Plan.

What is the tension-resolution ratio for this paragraph: 'The storm raged, destroying everything in its path. Finally, the sun broke through the clouds and peace returned.'

Tension-Resolution Ratio: 0.85. The text heavily emphasizes the problem stage.

Check the pacing of this narrative arc: 'Once upon a time, there was a small village. A dragon arrived suddenly and burned it all. The hero fought back bravely.'

Pacing Variance Score: 0.42. Significant fluctuations in sentence length detected across the arc.

The tool identifies StoryBrand SB7, Hero's Journey, and Before-After-Bridge structures.

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