# Special Character Token Analyzer AI Agent Connect

> Analyze the impact of special characters on tokenization density.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_patd6fBVugNI2nZ9AujeqFiu7tcwIa7hD4EcEVAl/ai-agent-connect
- **Tags:** tokens, unicode, emojis, text-density, analysis

## Description

This MCP server provides deterministic analysis of how special characters affect tokenization weight. It calculates the density of emojis, accented characters, punctuation, and symbols to estimate their impact on LLM token counts. Use `analyze_text_density` for a full breakdown of weighted token contributions, `get_category_counts` to isolate specific character types, or `validate_character_coverage` for a quick check of special character presence.

## Tools

### analyze_text_density
Perform a full breakdown of special character counts and their resulting token weights

### get_category_counts
Retrieve raw counts of a specific character category

### validate_character_coverage
Verify if a string contains any special characters

## Prompt Examples

**Prompt:** 
```
Analyze the token density of the text: 'Hello! 😊 ©'
```

**Response:** 
```
emoji_count: 1, accented_count: 0, punctuation_count: 1, symbol_count: 1, total_special_tokens: 5.0, special_ratio: 1.25
```

**Prompt:** 
```
Does this text have special characters: 'Standard text'
```

**Response:** 
```
has_special_characters: false, total_detected_count: 0
```

**Prompt:** 
```
How many accented characters are in 'Café'?
```

**Response:** 
```
category: accented, count: 1
```

## Frequently Asked Questions

**How are emojis weighted?**
Each emoji is weighted as being equivalent to two tokens.

**What is the special ratio?**
The special ratio is the total weighted special tokens divided by one-fourth of the input text length.

**Can I get counts for specific categories?**
Yes, you can use `get_category_counts` to retrieve raw counts for emojis, accented characters, punctuation, or symbols.