MCP For Claude Marketplace
LinkedIn Formatting Density Scanner

LinkedIn Formatting Density Scanner MCP Connector for Claude

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Analyze LinkedIn post visual structure, whitespace ratio, and mobile scannability.

1 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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The LinkedIn Formatting Density Scanner provides precision analytics for evaluating the visual rhythm of LinkedIn content. Using tools like analyze_paragraph_distribution, evaluate_whitespace_ratio, detect_stylance_elements, and estimate_mobile_viewport_depth, creators can quantify 'scannability'--the ability of a post to capture attention in a fast-scrolling feed. This MCP server calculates paragraph length distribution, identifies Unicode styling density, measures whitespace ratios, and estimates mobile viewport scroll depth based on exact character and line count mathematics.

linkedinformattingscannabilityanalyticscontent-creationtext-analysis

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

analyze_paragraph_distribution

Analyze the structural rhythm of a text by identifying single vs multi-sentence blocks

See how to talk to your AI agent using LinkedIn Formatting Density Scanner.

Analyze the formatting density of this post: 'LinkedIn is changing. Every day I see new updates. It is hard to keep up.'

Analysis complete. Single-sentence blocks: 3, Multi-sentence blocks: 0. The text follows a high-scannability pattern with frequent line breaks.

Check the whitespace ratio for this content: 'Line 1 Line 2 Line 3'

The whitespace ratio is 0.5, indicating a high proportion of empty space relative to text lines.

Detect any stylistic elements in: '<0xF0><0x9D><0x91><0xA9>𝒐𝒍𝒅 𝑻𝒆𝒙𝒕 and 😊 emojis'

Detected 10 Unicode styling characters and 1 emoji. The post contains high visual density elements.

The tool analyzes paragraph distribution (single vs multi-sentence blocks), whitespace ratio, Unicode styling density, emoji count, and estimated mobile scroll depth.

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