Truncation Detection Calculator

Truncation Detection Calculator MCP Connector for Claude

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A deterministic engine for identifying and managing text truncation based on token limits.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a deterministic engine for managing text truncation. It uses a fixed character-to-token ratio to calculate whether a text string exceeds a specific token threshold. Use analyze_truncation to get a full suite of metrics including the truncation point and safe text, get_truncation_metrics to view capacity limits, or validate_safe_text to verify if a string is within bounds. It is designed to help AI agents manage context windows and prevent text overflow in LLM workflows.

tokenizationtruncationtext-analysisllm-contextdeterministic

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

analyze_truncation

get_truncation_metrics

validate_safe_text

See how to talk to your AI agent using Truncation Detection Calculator.

Analyze this text for truncation with a max limit of 10 tokens and a ratio of 4: 'Hello world, this is a test string for truncation detection.'

The text is truncated. Estimated tokens: 11.25, Max characters: 40, Truncation point: 40, Tokens exceeded: 1.25, Truncation ratio: 0.88, Safe tokens: 10.

Is the text 'Short text' safe for a 5 token limit with a ratio of 4?

Yes, the text is safe. Estimated tokens: 2.5.

What are the max characters for 50 tokens at a ratio of 4?

The maximum character capacity is 200.

The engine uses a deterministic model where tokens are calculated by dividing the total character count by a fixed token ratio (defaulting to 4).

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