MCP For Claude Marketplace
Readability & SEO Scorer

Readability & SEO Scorer MCP Connector for Claude

A+

Audit text for SEO performance using Flesch-Kincaid, sentence density, and passive voice analysis.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

The Readability & SEO Scorer MCP server provides a comprehensive audit of your content's linguistic structure. It calculates a customized Flesch-Kincaid Reading Ease score to determine how accessible your text is to readers. Beyond readability, the server uses audit_density to identify 'walls of text' by flagging overly long sentences and paragraphs that can hurt user engagement. Additionally, the analyze_style tool detects passive voice usage, helping you transform wordy prose into direct, engaging content. By integrating this server via Vinkius Edge, AI agents in Cursor, VS Code, or Claude Desktop can automatically evaluate text quality for optimal SEO performance.

readabilityseocontent-audittext-analysisflesch-kincaid

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

analyze_style

Detect passive voice and analyze writing style

calculate_readability

Calculate Flesch-Kincaid Reading Ease score

audit_density

Audit text for structural density issues

See how to talk to your AI agent using Readability & SEO Scorer.

What is the readability score of this text: 'The quick brown fox jumps over the lazy dog.'

The reading ease score for the provided text is 105.2, which falls into the 'very easy' complexity level.

Check this paragraph for structural density issues: 'This is a very long sentence that contains many words in order to test if the density audit tool can correctly identify it as a long sentence during the analysis process.'

The audit identified 1 structural alert: The sentence exceeds the default word count threshold of 20 words.

Analyze this text for passive voice: 'The cake was eaten by the boy.'

Detected 1 instance of passive voice. Suggestion: Use active voice, e.g., 'The boy ate the cake.'

The tool calculates a reading ease score based on the ratio of syllables to words and words to sentences. A higher score indicates easier-to-read text.

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