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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Tokenization Normalizer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Resolves tokenization drift by normalizing text to match specific LLM tokenizer profiles.

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 Tokenization Normalizer capability set.

These are the exact actions your AI can choose when you ask it to work with Tokenization Normalizer.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Tokenization Normalizer.

  1. 01

    Get tokenizer capabilities

    Informs the user about what specific normalization rules are available for a given tokenizer profile

  2. 02

    Analyze tokenization drift

    Compares the original text against a target profile to provide a summary of how "unstable" the text is for that specific model

  3. 03

    Normalize text structure

    Transforms a given string to match the structural expectations of a specific target tokenizer

Observed, not estimated

836ms average. Fast in production.

Tokenization Normalizer is checked daily against the live service.

Daily averagePeak 1006ms
Aug 20Today
Fastest day
658ms
Slowest day
1006ms
14-day trend
Slowing+11%

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 Tokenization Normalizer, so you can see the experience inside your AI.

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

Tokenization Normalizer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_o1uQr4UTZ6TKL3SVo9yFjltzxiK6QVA7RZ6eze6b/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 — Tokenization Normalizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "tokenization-normalizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_o1uQr4UTZ6TKL3SVo9yFjltzxiK6QVA7RZ6eze6b/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 Tokenization Normalizer owners ask.

  • 01

    What is tokenization drift?

    Tokenization drift occurs when the same text results in different token counts or boundaries across different LLM models. This capability helps align text to a target profile to minimize these differences.

  • 02

    Which tokenizers are supported?

    The server supports various profiles including cl100k_base, p50k_base, and llama. You can use get_tokenizer_capabilities to see the full list of supported rules for each.

  • 03

    How do I use this with Cursor or Claude Desktop?

    Connect via Vinkius Edge using your personal Connection Token. Once connected, any MCP-compatible client like Cursor, VS Code, Claude Desktop, or Windsurf can use the capabilities.

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