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Connect Readability Score Analyzer to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Check text complexity and reading levels instantly.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Readability Score Analyzer.

  1. 01

    Analyze readability

    This capability analyzes the structural complexity of any text you provide. It returns multiple readability indices and linguistic metrics like syllable density and passive voice detection.

Real work

What teams actually run

01

Technical Documentation

Verify that complex manuals are written at a level accessible to end users.

02

Educational Content

Ensure textbooks or study guides align with student grade levels.

03

Copywriting

Check that marketing materials are punchy and avoid overly complex words.

04

Academic Editing

Use linguistic metrics to audit the structural complexity of research papers.

One connector, every AI

Readability Score Analyzer works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Readability Score Analyzer to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

652ms average. Fast in production.

Readability Score Analyzer is checked daily against the live service.

Daily averagePeak 824ms
Oct 3Today
Fastest day
535ms
Slowest day
824ms
14-day trend
Stable0%

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

Guided setup for Claude? Set up Readability Score Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Readability Score Analyzer owners hand off.

This MCP is built for professionals who need to control the difficulty level of their written communication.

  • 01

    Content Creators

    They use it to ensure blog posts and articles stay accessible to their target readers.

  • 02

    Educators

    They check that instructional materials match the reading proficiency of their students.

  • 03

    Editors

    They use the metrics to identify dense or passive writing that needs tightening.

FAQ

Questions Readability Score Analyzer owners ask.

  • 01

    What readability formulas does this MCP use?

    It uses several standard formulas including Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning Fog Index, SMOG Index, Coleman-Liau Index, and the Automated Readability Index.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client such as Claude, Cursor, or Windsurf.

  • 03

    Does it only provide a single score?

    No, it provides multiple indices along with raw metrics like syllable density and passive voice detection.

  • 04

    How do I get started?

    You subscribe through Vinkius, which hosts and manages the MCP for you, then connect it to your preferred AI client with one click.

  • 05

    Is this useful for non-native English speakers?

    Yes, it helps verify that English text is written at a level that is understandable for the intended audience.

  • 06

    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).

  • 07

    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.

  • 08

    Does it support languages other than English?

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

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