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Connect Linkedin Scannability Reading Time Scorer to your AI

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. Stop losing readers to walls of text and mobile cutoffs.

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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.

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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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through LinkedIn Scannability Scorer.

  1. 01

    Check f pattern compliance

    This capability evaluates if your text follows the natural F-pattern reading behavior used by most digital readers.

  2. 02

    Analyze structural rhythm

    This capability examines the flow and scannability of your text to identify dense blocks that might discourage readers.

  3. 03

    Estimate mobile viewport impact

    This capability predicts how much of your post is visible on a mobile screen before the user has to scroll or tap see more.

  4. 04

    Get reading time

    This capability calculates the estimated time a reader needs to finish your post based on a 200 WPM baseline.

Real work

What teams actually run

01

Mobile Hook Optimization

Check if your opening sentence is visible on a phone before the 'see more' button cuts it off.

02

Content Flow Audits

Use rhythm analysis to break up long paragraphs that might scare off readers.

03

Engagement Forecasting

Estimate reading time to decide if a post is too long for a quick feed scroll.

04

Keyword Placement

Verify that your main topics appear in the high-visibility F-pattern zones.

One connector, every AI

LinkedIn Scannability Scorer 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 LinkedIn Scannability Scorer 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

703ms average. Fast in production.

LinkedIn Scannability Scorer is checked daily against the live service.

Daily averagePeak 904ms
Oct 3Today
Fastest day
566ms
Slowest day
904ms
14-day trend
Slowing+17%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive 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 LinkedIn Scannability Scorer, so you can see the experience inside your AI.

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

LinkedIn Scannability Scorer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Atg8Lh3bSi7uvWsLNj7VOKYQqLwraYgIoRkyKTK8/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 — LinkedIn Scannability Scorer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "linkedin-scannability-reading-time-scorer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Atg8Lh3bSi7uvWsLNj7VOKYQqLwraYgIoRkyKTK8/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 LinkedIn Scannability Scorer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work LinkedIn Scannability Scorer owners hand off.

This MCP is built for professionals who publish high-frequency content on LinkedIn and need to ensure it is readable on mobile devices.

  • 01

    Content Strategists

    They hand off draft text to the AI to verify scannability before publishing.

  • 02

    Social Media Managers

    They use the capability to ensure posts fit mobile viewports and maintain engagement.

  • 03

    Copywriters

    They use the rhythm and F-pattern capabilities to refine the flow of their writing.

FAQ

Questions LinkedIn Scannability Scorer owners ask.

  • 01

    How does the reading time calculation work?

    The MCP calculates reading time based on a standard baseline of 200 words per minute.

  • 02

    What is the F-pattern compliance check?

    It checks if your most important information is placed where users naturally look when scanning digital content.

  • 03

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any compatible client like Claude, Cursor, or Windsurf through Vinkius.

  • 04

    What does mobile viewport impact mean?

    It estimates the percentage of your post that is visible to a user on a mobile device before they have to interact with the post to see more.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts the MCP and manages all the technical requirements so it is ready to use immediately.

  • 06

    How is reading time calculated?

    The get_reading_time capability calculates the total word count and divides it by a standard professional reading speed of 200 words per minute.

  • 07

    Can I check if my keywords are placed correctly?

    Yes, use the check_f_pattern_compliance capability. It checks if your target keywords appear within the first three words of each paragraph to capture attention.

  • 08

    Does this help with mobile optimization?

    Absolutely. The estimate_mobile_viewport_impact capability helps you understand how much of your post is visible on a phone screen without the user needing to scroll.

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