# Prompt Length Classifier AI Agent Connect

> Estimate token usage and context window saturation.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_GdAFiXIkUwt3GhfHQZUR27E5ELmqD2oApc7nMU7Q/ai-agent-connect
- **Tags:** tokens, context-window, llm, estimation, prompt-engineering

## Description

This MCP server provides deterministic tools to calculate token consumption and context window utilization. Use `classify_prompt_usage` to get a full breakdown of estimated tokens, usage percentage, and available headroom. Use `validate_window_capacity` to ensure your prompt and expected response fit safely within a model's limits. It is designed to help developers and agents manage context more effectively.

## Tools

### classify_prompt_usage
Calculates all metrics regarding token estimation, context saturation, and available headroom for a given text and context window

### validate_window_capacity
Verifies if a specific amount of text can fit within a specific context window while still leaving room for the required output reservation and safety margin

### get_context_tier_definitions
Provides the logic-based definitions for the qualitative length categories

## Prompt Examples

**Prompt:** 
```
How much of my 8192 context window will this text use: 'Hello world'?
```

**Response:** 
```
The text 'Hello world' uses approximately 3 tokens, which is 0.03% of an 8192 token window.
```

**Prompt:** 
```
Will a 5000 token prompt fit in a 4096 token window?
```

**Response:** 
```
No, a 5000 token prompt exceeds the 4096 token capacity of the window.
```

**Prompt:** 
```
Calculate the usage for a 1000 character text in a 32768 window.
```

**Response:** 
```
The estimated tokens are 250, representing 0.76% of the 32768 context window.
```

## Frequently Asked Questions

**How are tokens calculated?**
Tokens are estimated by dividing the total character count of the input text by four.

**What is the purpose of the safety margin?**
The safety margin provides a 10% buffer of the remaining tokens to prevent context overflow during generation.

**Can I use this with Claude Desktop?**
Yes, this MCP server is compatible with Claude Desktop, Cursor, VS Code, Windsurf, and any other MCP-compatible client.