MCP For Claude Marketplace
Speculative Decoding Calculator

Speculative Decoding Calculator MCP Connector for Claude

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Optimize LLM inference speed and cost using deterministic speculative decoding metrics.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a deterministic engine to calculate the performance gains and cost benefits of speculative decoding. By analyzing the relationship between a draft model and a target model, you can determine the optimal draft length to maximize throughput. Use calculate_performance_metrics to evaluate speedup ratios and efficiency, optimize_speculation_parameters to find the best configuration for your specific task, and calculate_operational_impact to estimate memory overhead and monetary savings.

llmspeculative-decodinginference-accelerationperformancecost-optimization

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

calculate_operational_impact

Estimates memory and cost savings

calculate_performance_metrics

optimize_speculation_parameters

Determines optimal draft length

See how to talk to your AI agent using Speculative Decoding Calculator.

Calculate the performance metrics for a draft model with 50 tokens/s, a target model with 10 tokens/s, an acceptance rate of 0.7, a draft length of 5, and 20ms verification overhead.

The speedup ratio is 3.5, with 3.5 accepted tokens and 1.5 rejected tokens per step. The effective throughput is significantly improved.

What is the optimal draft length if my max length is 10, draft speed is 100, target speed is 20, acceptance rate is 0.6, and overhead is 5ms?

The optimal draft length to maximize throughput is 6.

Estimate the cost savings if I save 3600 seconds using a setup that costs $0.05 per second.

The total cost savings for this inference period is $180.00.

You can use the `calculate_performance_metrics` tool. It flags a configuration as inefficient if the speedup ratio is less than 1.5 or if the acceptance rate falls below 0.5.

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