# Prompt Token Analyzer AI Agent Connect

> Deterministic token breakdown and budget analysis for prompt engineering.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_ZgehUUQz5CT25DulG0SEu9HRgQOCIVnjLGCggzWK/ai-agent-connect
- **Tags:** tokens, budget, prompt-engineering, llm, optimization

## Description

This MCP server provides precise tools for managing token budgets in LLM workflows. It uses a deterministic 4-character-per-token ratio to calculate consumption across different prompt segments. Use `analyze_prompt_sections` for a detailed breakdown of tokens and budget adherence, `get_section_stats` for high-level summaries, or `find_outlier_sections` to identify bloated or empty sections. It helps developers optimize context windows and control costs effectively.

## Tools

### find_outlier_sections
Identifies sections that are significantly larger or smaller than the average section size

### analyze_prompt_sections
Performs a full breakdown of a prompt's token consumption and budget adherence

### get_section_stats
Provides high-level summary statistics about the prompt's composition

## Prompt Examples

**Prompt:** 
```
Analyze these prompt sections: 'System: You are a helpful assistant' (35 chars) and 'User: Hello' (11 chars) with a budget of 20 tokens.
```

**Response:** 
```
The total token count is 11.5 tokens. The budget remaining is 8.5 tokens. The largest section is 'System: You are a helpful assistant'.
```

**Prompt:** 
```
Give me a summary of the token usage for these sections: 'Instruction' (12 chars) and 'Data' (100 chars) with a budget of 50 tokens.
```

**Response:** 
```
Total tokens: 28. Budget remaining: 22. The system is within budget.
```

**Prompt:** 
```
Find outliers in these sections: 'A' (1 char), 'B' (1 char), 'C' (1 char), and 'D' (100 chars).
```

**Response:** 
```
The large outlier is 'D'.
```

## Frequently Asked Questions

**How is the token count calculated?**
The server uses a deterministic proxy where the token count is the total number of characters in a section divided by four.

**Can I identify which parts of my prompt are too large?**
Yes, you can use the `find_outlier_sections` tool to identify sections that are significantly larger or smaller than the average size.

**What happens if I exceed my token budget?**
The `analyze_prompt_sections` tool will return a negative budget remaining value and set the budget overrun flag to true.