MCP For Claude Marketplace
Prompt Compression Efficiency Calculator

Prompt Compression Efficiency Calculator MCP Connector for Claude

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Evaluate the performance, cost-effectiveness, and quality impact of prompt compression techniques.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides deterministic tools to measure how effectively different prompt compression methods reduce token counts while maintaining semantic integrity. Use calculate_compression_metrics to derive the compression ratio, tokens saved, and cost savings. You can also use evaluate_technique_performance to verify if a specific method like summarization, pruning, or abstraction falls within expected domain benchmarks, or recommend_optimal_technique to identify the most efficient approach based on efficiency scores.

prompt-engineeringtoken-optimizationcost-reductionllm-efficiencycompression

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

recommend_optimal_technique

Determines the most suitable compression technique based on efficiency scores

calculate_compression_metrics

Calculates the core mathematical performance metrics of a single compression attempt

evaluate_technique_performance

Compares a specific compression result against expected performance benchmarks

See how to talk to your AI agent using Prompt Compression Efficiency Calculator.

Calculate the metrics for a prompt that went from 1000 tokens to 200 tokens, with a quality score drop from 0.9 to 0.85, at a cost of 0.00002 per token.

The compression ratio is 5.0, tokens saved is 800, quality retention is 0.944, compression efficiency is 0.188, and cost savings is 0.016.

Is a summarization technique with a 7:1 ratio and 15% quality loss within the expected range?

Yes, a summarization technique with a 7:1 ratio and 15% quality loss is within the expected performance benchmarks.

Which technique is better: summarization with 0.5 efficiency or pruning with 0.8 efficiency?

The recommended technique is pruning.

You can use the `calculate_compression_metrics` tool. By providing the original token count, compressed token count, and the cost per token, the tool automatically calculates the `costSavings` for you.

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