Deterministic Readability ScorerをAIに接続

• 01 / 03How to calculate reading time
• 02 / 03How to calculate grade levels
• 03 / 03読解レベルの判定方法

最速日

805ms

最遅日

1327ms

14日間の傾向

改善傾向-7%

Deterministic Readability Scorer Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_xn51InkPXPF6UvzWpq82RMb2AMpXMdXdY0wxIUyC/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Deterministic Readability Scorer capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "deterministic-readability-scorer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_xn51InkPXPF6UvzWpq82RMb2AMpXMdXdY0wxIUyC/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Deterministic Readability ScorerをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  Technical Writers

  They hand off documentation to the agent to ensure it meets specific grade level requirements for users.

• 02

  Copywriters

  They use the agent to check if marketing copy is too complex for their target audience.

• 03

  Editors

  They use the agent to get exact reading time estimates for newsletter and blog planning.

• 01

  Why shouldn't I just ask my AI to calculate readability?

  AI models process text as tokens, not syllables. This leads to mathematical hallucinations when they try to do linguistic math. This MCP uses a Javascript engine to provide the actual, correct numbers.

• 02

  What is the difference between Flesch-Kincaid and Gunning Fog?

  Flesch-Kincaid focuses on grade level and reading ease based on sentence and word length. Gunning Fog specifically looks at the density of complex, polysyllabic words.

• 03

  Can I change the reading speed for time estimates?

  Yes. The calculate_reading_time capability allows you to provide a custom Words Per Minute (WPM) value. It defaults to 200 WPM if you don't specify one.

• 04

  Does this MCP require any external dependencies?

  No. It uses a zero-dependency architecture with a pure Javascript runtime for fast, reliable processing.

• 05

  Which AI clients can use this MCP?

  Any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code, can use this capability.

• 06

  Why do AI models fail at calculating readability scores?

  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 capabilities mandatory.

• 07

  Does it support multiple languages?

  The syllable counting heuristic is highly optimized for English, which is the baseline for Flesch-Kincaid. However, the reading time and basic word/sentence extraction work flawlessly across all Latin-script languages.

• 08

  Are there any external library dependencies?

  No. We utilize a custom Regular Expression syllable engine built natively into the TypeScript architecture, achieving 0ms latency processing without downloading external NLP packages.

• 

  Text Readability Scorer AIコネクタ

  Calculate mathematically accurate readability metrics (Flesch-Kincaid, Gunning Fog, SMOG) for any text. Stop r

  表示
• 

  MarketMuse (AI Content Strategy & SEO) AIコネクタ

  Plan and optimize content via MarketMuse AI — analyze topic authority, generate content briefs, and audit SEO

  表示
• 

  Readability Score Analyzer AIコネクタ

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

  表示
• 

  Deterministic Text Summarizer & Extractor AIコネクタ

  Equip your AI with pure Term Frequency (TF) text analysis. Deterministically extract keywords, bigrams, and ge

  表示

おすすめ

• 

  Readability & SEO Scorer AIコネクタ

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

  表示
• 

  Content Length Scorer AIコネクタ

  Analyze text word counts against industry-standard length benchmarks based on content intent.

  表示
• 

  Fliki (AI Text-to-Video & Speech API) AIコネクタ

  Create high-quality videos and AI voices from text scripts using Fliki — generate content, list voices, and tr

  表示
• 

  SEO Content Brief Scorer AIコネクタ

  Audit content briefs for SEO health, keyword placement, and heading hierarchy.

  表示