Readability Score Analyzer

Readability Score Analyzer MCP Connector for Claude

A+

Analyze text complexity using standard linguistic formulas like Flesch-Kincaid and SMOG.

1 tools Official Updated Oct 1, 2026 Official Vinkius Partner

The Readability Score Analyzer provides a deep dive into the structural complexity of English text. By utilizing the analyze_readability tool, you can instantly obtain multiple readability indices including Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning Fog Index, SMOG Index, Coleman-Liau Index, and the Automated Readability Index (ARI). Beyond simple scores, it calculates raw linguistic metrics such as average sentence length, syllable density, and identifies passive voice usage. This is essential for content creators, educators, and editors who need to ensure their writing matches the intended audience's reading level.

readabilitytext-analysislinguisticseditingwriting-toolsnlp

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

analyze_readability

Analyze the readability of a given text

See how to talk to your AI agent using Readability Score Analyzer.

Analyze the readability of this sentence: 'The quick brown fox jumps over the lazy dog.'

The text has a high readability score, indicating it is very easy to read, with a low grade level requirement.

How complex is this paragraph: 'The implementation of advanced linguistic algorithms requires significant computational resources and precise data segmentation.'

This paragraph has a higher complexity score, likely corresponding to a college or professional reading level due to polysyllabic words.

Check for passive voice in: 'The cake was eaten by the boy.'

Passive voice detected: 'was eaten by the boy'.

The analyzer uses several industry-standard formulas: Flesch Reading Ease, Flesche-Kincaid Grade Level, Gunning Fog Index, SMOG Index, Coleman-Liau Index, and the Automated Readability Index (ARI).

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