# Prefix Cache Savings Calculator AI Agent Connect

> Calculate exact token savings from LLM prefix caching.

## Overview
- **Category:** optimization
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_X5laquUdzNLwu1jfwmCWYgT4ANJtiqAUYca2plBj/ai-agent-connect
- **Tags:** prefix-caching, token-optimization, llm-efficiency, prompt-engineering, cost-reduction

## Description

This MCP server provides tools to analyze how much token usage can be reduced by using prefix caching. By identifying the longest common prefix across a set of prompts, it calculates exact savings in tokens and percentage efficiency. Use `analyze_prefix_savings` to get detailed metrics or `get_cache_efficiency_metrics` for a high-level recommendation on caching potential.

## Tools

### analyze_prefix_savings
Calculates the exact cache savings resulting from a shared prefix across a provided set of prompts

### find_longest_common_substring
Identifies the specific character sequence shared by the prompts to validate the prefix

### get_cache_efficiency_metrics
Provides a high-level summary of whether a set of prompts is a good candidate for prefix caching

## Prompt Examples

**Prompt:** 
```
Calculate the savings for these prompts: ['System: Act as a tutor. User: Hello', 'System: Act as a tutor. User: How are you?', 'System: Act as a tutor. User: Help me with math.']
```

**Response:** 
```
The common prefix is 'System: Act as a tutor. User: '. The total tokens saved is 32 tokens, resulting in a 45% savings efficiency.
```

**Prompt:** 
```
Is this set of prompts efficient for caching? ['Prompt A', 'Prompt B', 'Prompt C']
```

**Response:** 
```
No significant savings detected for this set of prompts.
```

**Prompt:** 
```
Find the common prefix for: ['abcde', 'abcdx', 'abcdy']
```

**Response:** 
```
The common prefix is 'abcd'.
```

## Frequently Asked Questions

**How does this tool calculate token savings?**
The tool identifies the common prefix shared by all prompts and estimates tokens using a 4-character-per-token ratio. It then calculates savings by multiplying the prefix tokens by the number of additional prompts that benefit from the cache.

**What is the difference between the analysis tools?**
You can use `analyze_prefix_savings` for a full breakdown of tokens, including the exact common prefix and percentage. Use `get_cache_efficiency_metrics` if you just want a quick recommendation based on a specific efficiency threshold.

**Can I use this with Claude Desktop?**
Yes, this MCP server can be connected to Claude Desktop, Cursor, VS Code, Windsurf, and any other MCP-compatible client via Vinkius Edge.