# Context Window Utilization Analyzer AI Agent Connect

> A deterministic tool for tracking and predicting AI context window exhaustion.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_a94zLVwSwf2DvTzAMChKGExr9UmXx5NDNX3Qbk6j/ai-agent-connect
- **Tags:** context-window, token-tracking, llm-management, ai-efficiency, predictive-analysis

## Description

This MCP server provides precise tools to monitor and predict the exhaustion of Large Language Model (LLM) context windows. By analyzing system prompts, tool definitions, and conversation history, it calculates real-time utilization and provides proactive recommendations. Use `calculate_utilization` to get a full report on remaining tokens and turns until capacity is reached, or `get_utilization_status` for a quick health check. It is designed to help users manage context pressure before truncation occurs.

## Tools

### calculate_utilization
Performs the primary deterministic calculation of current and projected context usage

### get_utilization_status
Provides a high-level summary of the current context health

### predict_capacity_exhaustion
Estimates how much "breathing room" remains based on varying conversation intensity

## Prompt Examples

**Prompt:** 
```
How much context do I have left in my current session?
```

**Response:** 
```
You have 4,500 tokens remaining in your context window, which is approximately 22 turns of conversation left.
```

**Prompt:** 
```
Check my current context health.
```

**Response:** 
```
Your current context utilization is 45%, which is considered Healthy.
```

**Prompt:** 
```
Is my context window nearing capacity?
```

**Response:** 
```
Yes, your utilization is at 85%. The recommended action is to Compress Now.
```

## Frequently Asked Questions

**How does the analyzer calculate remaining tokens?**
The `calculate_utilization` tool subtracts the sum of all input tokens (system prompt, tool definitions, and history) and the expected output buffer from the total model context window.

**What is a 'compression trigger'?**
A compression trigger is a status indicator. If utilization exceeds 80%, it suggests 'Compress Now'; if it exceeds 60%, it suggests 'Monitor'.

**Can I predict how many more messages I can send?**
Yes, you can use the `predict_capacity_exhaustion` tool to estimate the number of turns remaining based on your current usage and an average token count per turn.