MCP For Claude Marketplace
Prompt Template Optimizer

Prompt Template Optimizer MCP Connector for Claude

A+

A deterministic utility for balancing LLM token efficiency against semantic importance.

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

This MCP server provides mathematical precision for prompt engineering. Use optimize_template to find the ideal balance between token savings and semantic quality by analyzing the importance-to-token ratio of your prompt sections. It also includes tools like analyze_prompt_efficiency to evaluate performance and calculate_variable_overhead to estimate the hidden costs of dynamic variable injection. It is designed to help developers find the mathematical sweet spot for LLM context window management.

tokensefficiencyllmoptimizationtemplates

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

analyze_prompt_efficiency

Evaluate a single prompt configuration against established performance benchmarks

calculate_variable_overhead

Estimate the hidden cost of using templates with many dynamic variables

optimize_template

Calculate the most efficient version of a prompt template based on a specific strategy

See how to talk to your AI agent using Prompt Template Optimizer.

Optimize this prompt: 500 base tokens, sections: 'System' (100 tokens, 0.9 importance), 'Context' (300 tokens, 0.5 importance), 'Task' (100 tokens, 0.8 importance) using the balance strategy.

The optimized prompt retains the 'System' and 'Task' sections, resulting in 200 tokens with a high efficiency score.

Calculate the overhead for a template with 5 variables and an average length of 50 tokens per variable.

The total variable cost is 250 tokens.

Evaluate a prompt with 1000 tokens, 0.8 aggregate importance, and 10 variables.

The efficiency score is 0.0008, which results in a Low utility rating.

The tool calculates the ratio of importance to token count for each section. Depending on your chosen strategy, it will either prioritize minimizing tokens, maximizing quality, or finding a balance between the two.

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