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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Token Count Estimator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Deterministic LLM token estimation using character-based heuristics.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete Token Count Estimator capability set.

These are the exact actions your AI can choose when you ask it to work with Token Count Estimator.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Token Count Estimator.

  1. 01

    Analyze text complexity

    Evaluates the structural characteristics of the text to prepare for specialized density calculations

  2. 02

    Estimate token usage

    Provides a comprehensive breakdown of the estimated token count and remaining capacity for a given input

  3. 03

    Get model ratios

    Retrieves the hardcoded character-to-token ratios for the specific model and language requested

Observed, not estimated

808ms average. Fast in production.

Token Count Estimator is checked daily against the live service.

Daily averagePeak 949ms
Aug 20Today
Fastest day
655ms
Slowest day
949ms
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 Token Count Estimator, so you can see the experience inside your AI.

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

Token Count Estimator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_WRXaDwN8B6yoUlZJBByOQGcYopoEFZ1yRxVUQweP/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 — Token Count Estimator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "token-count-estimator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_WRXaDwN8B6yoUlZJBByOQGcYopoEFZ1yRxVUQweP/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 Token Count Estimator owners ask.

  • 01

    How accurate are these token estimates?

    The estimates use deterministic character-based heuristics. For English, we provide a ±10% confidence interval, while mixed languages use a ±15% interval.

  • 02

    Which models are supported?

    The server supports GPT-4, Claude, Llama, and Gemma through specific character-to-token ratios.

  • 03

    Can I detect if my text is too long for the model?

    Yes, the estimate_token_usage capability includes an isOverCapacityWarning flag that triggers when you exceed 90% of the specified context window.

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