MCP For Claude Marketplace
Deterministic Readability Scorer

Deterministic Readability Scorer MCP Connector for Claude

A+

Equip your AI with strict linguistic math. Calculate Flesch-Kincaid, Gunning Fog indexes, and exact reading times deterministically.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner
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AI models perceive text as 'tokens', not as phonetic syllables or strict sentence boundaries. Because of this, asking an LLM to calculate a Flesch-Kincaid readability score directly will always result in a mathematical hallucination. The Readability Scorer MCP solves this by routing text analysis through a deterministic V8 Javascript engine.

The Superpowers

  • Flesch-Kincaid Precision: Automatically extracts total syllables, words, and sentences to provide mathematically perfect Reading Ease and Grade Level scores.
  • Gunning Fog Index: Determines the complexity of your text by algorithmically scanning for polysyllabic words (3+ syllables).
  • Exact Reading Time: Instead of guessing, it calculates the exact chronological reading time (minutes and seconds) based on a configurable WPM (Words Per Minute).
  • Zero-Dependency Architecture: Pure Javascript runtime execution means absolute processing speed with no external bloated packages.
text-analysisflesch-kincaidlinguistic-analysiscontent-optimizationreadability-metrics

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

calculate_flesch_kincaid

Provide the full text string. Analyzes text readability using the deterministic Flesch-Kincaid algorithm

calculate_gunning_fog

Provide the full text string. Analyzes text readability using the deterministic Gunning Fog index algorithm

calculate_reading_time

Provide the text and optionally the Words Per Minute (WPM) speed (defaults to 200). Provides an exact reading time estimation based on word count and WPM

See how to talk to your AI agent using Deterministic Readability Scorer.

What is the Flesch-Kincaid Grade Level of my latest blog post?

Using the calculate_flesch_kincaid tool: The text scores a Grade Level of 8.4, meaning it's highly readable for average audiences.

How many minutes will it take a user to read this newsletter?

Using the estimate_reading_time tool (wpm=220): It will take exactly 3 min 15 sec.

Analyze this legal contract using the Gunning Fog Index.

Using the calculate_gunning_fog tool: The index is 16.2 due to a high volume of complex, poly-syllabic words.

Readability formulas require knowing the exact number of phonetic syllables. LLMs process text in semantic tokens (e.g., 'unbelievable' might be 2 tokens, but it has 5 syllables). They cannot count syllables accurately, making algorithmic tools mandatory.

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