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Use Readability Score Analyzer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyze text complexity using standard linguistic formulas like Flesch-Kincaid and SMOG.

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 Readability Score Analyzer capability set.

These are the exact actions your AI can choose when you ask it to work with Readability Score Analyzer.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Readability Score Analyzer.

  1. 01

    Analyze readability

    Analyze the readability of a given text

Observed, not estimated

611ms average. Fast in production.

Readability Score Analyzer is checked daily against the live service.

Daily averagePeak 802ms
Aug 20Today
Fastest day
463ms
Slowest day
802ms
14-day trend
Slowing+38%

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 Readability Score Analyzer, so you can see the experience inside your AI.

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

Readability Score Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_N3tA4pC3yVWdyBnBQH4atFEP4H0AqM7ot8sSDKA0/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 — Readability Score Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "readability-score-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_N3tA4pC3yVWdyBnBQH4atFEP4H0AqM7ot8sSDKA0/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 Readability Score Analyzer owners ask.

  • 01

    What formulas are used for the analysis?

    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).

  • 02

    Can I detect passive voice in my text?

    Yes, the capability can identify and quantify the presence of passive voice constructions within your provided text.

  • 03

    Does it support languages other than English?

    Currently, the analyzer is optimized specifically for English language text analysis.

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