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Connect Subtitle Readability Pacer 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. Keep your captions readable and perfectly timed.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Subtitle Readability Pacer.

  1. 01

    Check readability risk

    This capability assesses whether a specific subtitle segment is too dense or fast for a viewer to read comfortably.

  2. 02

    Generate subtitle blocks

    This capability splits text into timestamped subtitle blocks while respecting character limits per line.

  3. 03

    Calculate speaking rate

    This capability determines the characters per second (CPS) for a given text segment and its duration.

Real work

What teams actually run

01

Social Media Captioning

Quickly format short-form video text into readable blocks that don't flicker too fast.

02

Accessibility Compliance

Verify that video subtitles meet readability standards to help viewers with processing difficulties.

03

Automated Video Workflows

Feed raw text and timestamps into your AI client to get structured subtitle data.

04

Subtitle Quality Control

Run an audit on existing subtitle files to find segments that are too fast or too long.

One connector, every AI

Subtitle Readability Pacer 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 Subtitle Readability Pacer 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

714ms average. Fast in production.

Subtitle Readability Pacer is checked daily against the live service.

Daily averagePeak 849ms
Oct 3Today
Fastest day
538ms
Slowest day
849ms
14-day trend
Slowing+19%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Subtitle Readability Pacer, so you can see the experience inside your AI.

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

Subtitle Readability Pacer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_a26ll7OBqreO3wLYmK6UBPmdn6AfcHoeptdmuWBk/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 — Subtitle Readability Pacer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "subtitle-readability-pacer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_a26ll7OBqreO3wLYmK6UBPmdn6AfcHoeptdmuWBk/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 Subtitle Readability Pacer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Subtitle Readability Pacer owners hand off.

This MCP is built for video professionals who need to automate the technical pacing of captions.

  • 01

    Video Editors

    They hand off raw transcripts to the AI to generate paced subtitle timing.

  • 02

    Accessibility Specialists

    They use the capability to ensure captions meet strict readability standards for viewers.

  • 03

    Content Creators

    They use the capability to quickly format captions for social media videos.

FAQ

Questions Subtitle Readability Pacer owners ask.

  • 01

    What is the maximum characters per second allowed?

    The MCP enforces a strict 15 characters per second (CPS) threshold to ensure readability.

  • 02

    How many lines can a subtitle block have?

    The capability ensures that no subtitle block exceeds two lines in total.

  • 03

    What is the character limit per line?

    The system limits each line to a maximum of 42 characters.

  • 04

    Which AI clients can use this MCP?

    You can use this MCP with any compatible client such as Claude, Cursor, Windsurf, or VS Code.

  • 05

    Does this MCP host the data?

    Yes, Vinkius hosts and manages the MCP so it is ready to use immediately upon connection.

  • 06

    How does the capability determine if a subtitle is readable?

    The capability uses check_readability_risk to evaluate the Characters Per Second (CPS). If the rate exceeds 15 CPS, it flags a high risk level and suggests fragmentation.

  • 07

    Can I split long segments into multiple blocks?

    Yes, the generate_subtitle_blocks capability automatically decomposes heavy segments into multiple timestamped blocks that satisfy character and duration constraints.

  • 08

    What are the character limits per line?

    To prevent eye strain, the engine ensures no single line exceeds 42 characters and no block contains more than two lines.

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