# Multi-Modal Token Calculator AI Agent Connect

> Deterministic token estimation for text, image, and audio across major LLM architectures.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_1r0g4WBe58Ril66BXrC5yzypcWjCpxOcEoKmnu7q/ai-agent-connect
- **Tags:** tokens, multimodal, gpt-4v, claude-3, gemini, cost-estimation

## Description

This MCP server provides precise tokenization calculations for multi-modal inputs. It allows AI agents to estimate total token counts, cost distributions, and modality ratios for models like GPT-4V, Claude 3, and Gemini. Use `calculate_token_usage` to get a full breakdown of costs and warnings, `optimize_image_resolution` to find the most efficient dimensions for visual inputs, and `analyze_modality_balance` to understand the composition of your prompt.

## Tools

### analyze_modality_balance
Analyzes how heavily a prompt relies on non-textual data

### calculate_token_usage
Provides a comprehensive breakdown of total tokens, cost, and modality distribution

### optimize_image_resolution
Suggests new image dimensions to minimize token usage while maintaining quality

## Prompt Examples

**Prompt:** 
```
Calculate the token usage for 500 text tokens, one 1024x1024 image, and 30 seconds of audio using GPT-4V.
```

**Response:** 
```
The total token count is 1,445 tokens. This includes 500 text tokens, 340 image tokens (4 tiles at 85 tokens each), and 945 audio tokens (30 seconds at 32 tokens/sec).
```

**Prompt:** 
```
I have an image that is 2048x2048. How can I optimize it for Claude 3 with a quality threshold of 0.8?
```

**Response:** 
```
To maintain a quality threshold of 0.8, the optimized resolution for your image is 1024x1024, which will result in a 75% reduction in token usage.
```

**Prompt:** 
```
Analyze the balance of a prompt with 1000 text tokens, 2000 image tokens, and 500 audio tokens.
```

**Response:** 
```
The prompt is visual-dominant, as image tokens account for more than 50% of the total 3,500 tokens.
```

## Frequently Asked Questions

**How does the tool handle image tokenization for GPT-4V?**
For GPT-4V, the `calculate_token_usage` tool partitions images into 512x512 tiles, where each tile costs 85 tokens, with a maximum of 4 tiles per image.

**Can I reduce my token costs for large images?**
Yes, you can use the `optimize_image_resolution` tool to suggest new dimensions that minimize token usage while maintaining your required quality threshold.

**What is included in the modality balance report?**
The `analyze_modality_balance` tool provides a report identifying if the prompt is text-dominant, visual-dominant, or audio-dominant based on the token counts provided.