Use Char-to-Token Estimator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predict token usage for different LLMs using language-specific character ratios.
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.
Complete set · 3 capabilities
The complete Char-to-Token Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with Char-to-Token Estimator.
01-03
3 capabilities in this set.
Part of 3 available through Char-to-Token Estimator.
- 01
Get text statistics
Provides basic linguistic metrics (characters and words) without performing token estimation
- 02
Validate language support
Checks if a specific language is supported by the estimator
- 03
Estimate tokens
Calculates the estimated token count for a given string based on language and model type
Observed, not estimated
830ms average. Fast in production.
Char-to-Token Estimator is checked daily against the live service.
- Fastest day
- 598ms
- Slowest day
- 901ms
- 14-day trend
- Slowing+37%
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 Char-to-Token Estimator, so you can see the experience inside your AI.
It does not authenticate your account with Char-to-Token Estimator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Char-to-Token Estimator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Y2mf9Fr9SfgCCOufW13ktoXXXCGBDxuCrGnCkSZq/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Char-to-Token Estimator capabilities are ready to use.
{
"mcpServers": {
"char-to-token-estimator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Y2mf9Fr9SfgCCOufW13ktoXXXCGBDxuCrGnCkSZq/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 Char-to-Token Estimator owners ask.
- 01
How accurate are these token estimates?
The capability uses a deterministic character-density approach with a fixed confidence level of 0.85, providing a reliable approximation for various LLM architectures.
- 02
Which LLM models are supported?
The estimator includes specific modifiers for GPT, Claude, and Llama models to account for their unique tokenization efficiencies.
- 03
Can I check if a language is supported before estimating?
Yes, you can use the validate_language_support capability to verify if a specific language is included in the supported list.
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