MCP For Claude Marketplace
Multi-Modal Token Calculator

Multi-Modal Token Calculator MCP Connector for Claude

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

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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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.

tokensmultimodalgpt-4vclaude-3geminicost-estimation

3 tools expose this connector's capabilities to your AI agent.

optimize_image_resolution

Suggests new image dimensions to minimize token usage while maintaining quality

calculate_token_usage

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

analyze_modality_balance

Analyzes how heavily a prompt relies on non-textual data

See how to talk to your AI agent using Multi-Modal Token Calculator.

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

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).

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

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.

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

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

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.

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