# Numeral Formatter Engine MCP

> Numeral Formatter Engine takes raw numbers and instantly converts them into perfect display strings. Stop worrying about if '10000' should be $10,000.00 or 10K. This MCP handles all the tricky formatting rules—currencies ($), bytes (MB), percentages (%), and abbreviations (k). It ensures your data looks right every single time, giving you deterministic output for reports and dashboards.

## Overview
- **Category:** productivity
- **Price:** Free
- **Tags:** data-formatting, localization, currency-formatting, data-visualization, deterministic-output, number-parsing

## Description

When an AI agent pulls data, it often spits out numbers that are technically correct but visually unusable. Trying to write a financial report or build a dashboard summary with raw figures is a nightmare; the LLM might use commas where periods belong, or forget decimal places entirely. This MCP fixes that. It applies strict rules—the same ones professional software uses—to guarantee your numbers look right for any audience. You just pass it the number and the format you want, and it returns clean text ready to paste into a document. By connecting this Numeral Formatter Engine through Vinkius, you make sure all data presentation is reliable, letting your agent focus on analysis instead of fixing formatting.

## Tools

### format_numeral
Takes a raw number and a format pattern (like '0.0b' or '$0,0.00') to output a perfectly formatted display string.

## Prompt Examples

**Prompt:** 
```
Format 10000 as a US dollar amount.
```

**Response:** 
```
Formatted Number: $10,000.00
```

**Prompt:** 
```
Show 2560000 as a human-readable byte size.
```

**Response:** 
```
Formatted Number: 2.4MB
```

**Prompt:** 
```
Display 0.973 as a percentage.
```

**Response:** 
```
Formatted Number: 97%
```

## Capabilities

### Format currency values
Converts raw integers into accurate, localized monetary strings like $10,000.00.

### Convert raw bytes to readable size
Transforms large byte counts (e.g., 2560000) into human-readable units like 2.4MB or 1.5GB.

### Calculate percentages
Takes decimal inputs (like 0.973) and outputs them as accurate percentage strings (97%).

### Shorten large numbers with abbreviations
Compresses big counts into simplified, readable formats like '1.5k' or '5M'.

## Use Cases

### Building a Q3 Revenue Report
A financial analyst needs to summarize revenue data. Instead of getting raw numbers like '1200000', they prompt their agent, which uses `format_numeral` with the currency pattern ('$0,0.00'). The output is clean text: '$1,200,000.00', ready for the PDF.

### Analyzing File Storage Usage
An engineer needs to report total storage used across multiple servers. They pass a raw byte count (e.g., 536870912) to `format_numeral` with the bytes pattern ('0.0b'). The resulting output is immediately understandable, like '512MB'.

### Calculating Feature Adoption
A product manager needs to show how many users clicked a new feature out of 800 total users. They use `format_numeral` with the percentage pattern ('0%') on the decimal ratio (0.125), and the agent reports '12.5%'.

### Summarizing User Counts
A marketing team gathers usage statistics, getting large numbers like 34500. They use `format_numeral` with the abbreviation pattern ('0.0a') to report '34.5k' instead of a massive number, keeping the document clean and readable.

## Benefits

- Avoids hallucinated formatting. When your agent generates a financial summary, you trust that the $ sign and comma placement are always right because of `format_numeral`.
- Universal compatibility means you only connect once through Vinkius to access deterministic number formatting for every client application, whether it's Cursor or VS Code.
- Consistency across all data types. Use this MCP to treat currencies, file sizes (bytes), and percentages with the same level of accuracy in your outputs.
- Saves time on manual cleanup. Instead of writing post-processing logic to fix inconsistent symbols, you just pass the raw number to `format_numeral` and get clean text back instantly.
- Deterministic output guarantees that running the same number through this MCP will always give you the exact same formatted result.

## How It Works

The bottom line is that you get clean, display-ready numbers without ever having to manually adjust dollar signs or commas.

1. You give your agent the raw number and specify what kind of format it needs (like 'currency' or 'bytes').
2. This MCP runs the number through established formatting rules, checking for locale-specific symbols and decimal places.
3. Your agent receives a perfectly formatted string ready to be used in text output.

## Frequently Asked Questions

**Does Numeral Formatter Engine handle dates?**
No, this MCP only handles numerical values. If you need to format dates (like MM/DD/YYYY), you'll need a dedicated date formatting tool.

**Can I use format_numeral for different currencies?**
Yes. You simply pass the raw number and update the pattern string to match the required currency symbol and decimal rules, like using '₹' instead of '$'.

**What is the difference between using this MCP and just asking an agent to format a number?**
Asking an agent to format often leads to hallucinations or inconsistent output. This MCP forces the agent to use strict, deterministic rules defined by Numeral.js, guaranteeing accuracy.

**If I pass '100', will format_numeral tell me if it's a currency?**
No, you must specify the context via the pattern string. You need to define if '100' means $100 or 100 units using the appropriate pattern for the tool.

**Does format_numeral support byte size conversions?**
Yes, it handles bytes by accepting a specific format pattern (like '0.0b'). This converts large raw integers into readable file sizes like MB or GB.