# Char-to-Token Estimator AI Agent Connect

> Predict token usage for different LLMs using language-specific character ratios.

## Overview
- **Category:** utilities
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_Y2mf9Fr9SfgCCOufW13ktoXXXCGBDxuCrGnCkSZq/ai-agent-connect
- **Tags:** tokens, llm, text, estimation, linguistics

## Description

This MCP server provides deterministic token estimation by analyzing text density across various languages. It uses specific character-to-token ratios for languages like English, Chinese, and Arabic, and applies model-specific modifiers for GPT, Claude, and Llama architectures. Use `estimate_tokens` to get a full breakdown of character counts, word counts, and estimated tokens, or `get_text_statistics` for basic linguistic metrics.

## Tools

### get_text_statistics
Provides basic linguistic metrics (characters and words) without performing token estimation

### validate_language_support
Checks if a specific language is supported by the estimator

### estimate_tokens
Calculates the estimated token count for a given string based on language and model type

## Prompt Examples

**Prompt:** 
```
Estimate the tokens for the text 'Hello world' using English and the GPT model.
```

**Response:** 
```
The text 'Hello world' has 11 characters and 2 words. The estimated token count for GPT is 3.
```

**Prompt:** 
```
How many tokens would '你好' use in a Claude model?
```

**Response:** 
```
The text '你好' has 2 characters and 1 word. The estimated token count for Claude is 2.
```

**Prompt:** 
```
Get the word count and average characters per word for 'This is a test.'
```

**Response:** 
```
The text has 4 words and an average of 3.25 characters per word.
```

## Frequently Asked Questions

**How accurate are these token estimates?**
The tool uses a deterministic character-density approach with a fixed confidence level of 0.85, providing a reliable approximation for various LLM architectures.

**Which LLM models are supported?**
The estimator includes specific modifiers for GPT, Claude, and Llama models to account for their unique tokenization efficiencies.

**Can I check if a language is supported before estimating?**
Yes, you can use the `validate_language_support` tool to verify if a specific language is included in the supported list.