# Token Budget Remaining Calculator AI Agent Connect

> Monitor and manage token consumption to prevent context window overflows.

## Overview
- **Category:** utilities
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_H3KPDczjATTEPm2Qy17peQnF8JshckYhcV0FxrS1/ai-agent-connect
- **Tags:** tokens, budget, context-window, monitoring, llm

## Description

This MCP server provides deterministic tools to monitor and manage token consumption against predefined limits. It helps prevent context window overflows by calculating remaining budget, usage percentages, and identifying high-impact components. Use `calculate_budget_status` to get a full snapshot of consumption, `get_component_breakdown` to see which parts of your prompt are most expensive, and `validate_safety_margin` to ensure your reserved tokens are sufficient.

## Tools

### calculate_budget_status
Provides a comprehensive snapshot of the current token consumption, remaining capacity, and critical usage flags

### get_component_breakdown
Identifies which specific parts of the prompt are the most expensive in terms of token consumption

### validate_safety_margin
Checks if the current reserved tokens are sufficient to prevent a budget overrun

## Prompt Examples

**Prompt:** 
```
Check my current token status. I have a 10,000 token budget, I've used 4,000 tokens in the system message and 2,000 in the user query, and I want to reserve 1,000 tokens.
```

**Response:** 
```
Total used: 6,000. Budget remaining: 3,000. Usage: 60%. Largest component: system message. Components over budget: 0. Available for output: 1,500.
```

**Prompt:** 
```
Is my current safety margin sufficient? My budget is 8,000, I've used 6,500 tokens, and I have 1,000 tokens reserved.
```

**Response:** 
```
No, the safety margin is insufficient. The remaining budget after reservation is -500 tokens.
```

**Prompt:** 
```
Show me the breakdown of my token usage for these components: System (5000), User (3000), and RAG (1500).
```

**Response:** 
```
Total used: 9,500. Component list: System (5,000), User (3,000), RAG (1,500).
```

## Frequently Asked Questions

**How does this tool help prevent context window errors?**
By using `calculate_budget_status`, you can track exactly how many tokens are left and receive critical alerts if your usage exceeds 90% or if your budget is exhausted.

**What is the purpose of the reserved tokens?**
Reserved tokens act as a safety buffer to ensure there is enough room for the model's response, preventing the session from hitting hard limits unexpectedly.

**Can I see which part of my prompt is using the most tokens?**
Yes, the `get_component_breakdown` tool provides a sorted list of all components from highest to lowest token usage.