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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use text-readability with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate mathematically accurate readability metrics (Flesch-Kincaid, Gunning Fog, SMOG) for any text. Stop relying on AI 'feelings'. get exact US grade level

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 1 capability

The complete text-readability capability set.

These are the exact actions your AI can choose when you ask it to work with text-readability.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through text-readability.

  1. 01

    Readability scorer

    Essential for SEO, marketing, and legal compliance. Calculate rigorous readability metrics for any text (Flesch-Kincaid, Gunning Fog, SMOG, etc.)

Observed, not estimated

854ms average. Fast in production.

text-readability is checked daily against the live service.

Daily averagePeak 1152ms
Aug 20Today
Fastest day
751ms
Slowest day
1152ms
14-day trend
Improving-11%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of text-readability, so you can see the experience inside your AI.

It does not authenticate your account with text-readability. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

text-readability Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_W9oYvTG1iKIoemfx3IYYV7gFBzYooLvoTGNLAkwk/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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 — text-readability capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "text-readability-scorer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_W9oYvTG1iKIoemfx3IYYV7gFBzYooLvoTGNLAkwk/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions text-readability owners ask.

  • 01

    Why can't the LLM just estimate the reading level?

    Readability formulas (like Flesch-Kincaid) require exact mathematical counts of syllables per word and words per sentence. LLMs operate on sub-word tokens, not syllables, making them notoriously bad at these calculations. This engine uses deterministic linguistic math.

  • 02

    What is a good Flesch Reading Ease score for web content?

    For general consumer web content, aim for 60-70. This translates to an 8th-9th grade reading level, which is easily understood by 80% of adults. Legal or academic texts usually score in the 30s or lower.

  • 03

    Does this work for non-English text?

    The formulas (Flesch, Fog, SMOG) were developed and calibrated specifically for the English language based on English syllable structures. While the engine will calculate a score for other languages, the grade-level mapping is only statistically accurate for English.

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