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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Subtitle Readability Pacer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate optimal subtitle block distribution and timing based on speaking rate.

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 · 3 capabilities

The complete Subtitle Readability Pacer capability set.

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

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Subtitle Readability Pacer.

  1. 01

    Check readability risk

    Assess the readability risk of a subtitle segment

  2. 02

    Generate subtitle blocks

    Generate split subtitle blocks based on character limits

  3. 03

    Calculate speaking rate

    Calculate characters per second (CPS) for a segment

Observed, not estimated

636ms average. Fast in production.

Subtitle Readability Pacer is checked daily against the live service.

Daily averagePeak 927ms
Aug 20Today
Fastest day
502ms
Slowest day
927ms
14-day trend
Slowing+13%

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

FAQ

Questions Subtitle Readability Pacer owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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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