Prompt Distillation Calculator

Prompt Distillation Calculator MCP Connector for Claude

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Calculate efficiency, quality, and cost of prompt distillation.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides deterministic tools to measure the impact of reducing prompt length. Use calculate_distillation_metrics to evaluate single-pass compression, perform_iterative_distillation for multi-pass optimization, and analyze_prompt_quality to assess semantic strength and clarity. It calculates critical metrics like compression ratio, information retention, and quality per token.

tokensdistillationefficiencyprompt-optimizationllm-metrics

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

analyze_prompt_quality

Evaluates the semantic strength and clarity of a prompt without performing distillation

calculate_distillation_metrics

Performs a single-pass distillation calculation and evaluates the resulting metrics

perform_iterative_distillation

Executes multiple rounds of distillation to reach a specific target threshold

See how to talk to your AI agent using Prompt Distillation Calculator.

Calculate the metrics for this prompt using abstraction: 'The user wants to know the weather in London today.' target 5 tokens.

The weather in London today is sunny and 22°C.

Analyze the quality of: 'Tell me stuff about cats.'

The prompt has low clarity and high ambiguity due to the vague term 'stuff'.

Perform iterative distillation on: 'Please provide a detailed summary of the history of Rome.' target 10 tokens.

Rome was founded in 753 BC and grew from a small settlement into a massive empire.

It is the process of reducing token counts to minimize latency and cost while preserving the original intent and instructions.

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