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Roman Numeral Converter

Roman Numeral Converter MCP for AI. Get perfect, verifiable conversion between integers and numerals.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Deterministic Roman Numeral Converter provides reliable, mathematically precise conversion between standard base-10 integers and their corresponding Roman numeral strings. This MCP resolves common LLM hallucination issues by forcing calculations through a deterministic V8 engine with strict regex validation.

You can convert modern numbers into accurate ancient formats or decode complex Roman dates back into usable integers—all without the AI guessing.

What your AI can do

Convert from roman

Turns a Roman numeral string into its corresponding standard integer value while validating the format.

Convert to roman

Translates an integer (1-3999) into a mathematically accurate Roman numeral string.

Convert Integers to Roman Numerals

Translates any standard integer (up to 3999) into its correct Roman numeral string representation.

Decode Roman Strings to Integers

Reads a complex Roman numeral string, validating its format, and returns the corresponding base-10 integer value.

Enforce Data Validity

Rejects any input—whether numeric or textual—that violates strict mathematical rules for Roman numerals, preventing corrupted data from passing through.

Included with Plan

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AI Agent

Deterministic Roman Numeral Converter: 2 Tools

Use these tools to reliably convert numbers into accurate Roman strings or decode complex Roman strings back into standard integers.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Deterministic Roman Numeral Converter on Vinkius

Convert From Roman

Turns a Roman numeral string into its corresponding standard integer value while validating the format.

Convert To Roman

Translates an integer (1-3999) into a mathematically accurate Roman numeral string.

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Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Roman Numeral Converter integration is available immediately — no restart needed.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 2 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Handling Numbers in Ancient Scripts is Painful

Think about it. You're dealing with historical data or game assets, and the numbers are Roman numerals. If your team doesn't have a dedicated tool, you end up copy-pasting sequences into spreadsheets, cross-referencing Wikipedia rules, or hoping the LLM remembers that `IV` means four, not 'IIII'. It’s tedious, error-prone work.

Now, with this MCP, you simply ask your agent to handle it. You give it a Roman numeral string and it runs the conversion through its deterministic engine. The result is clean, validated, and ready to use—no copy-pasting required.

Using `convert_from_roman` Gives You Clean Integers

Before this MCP, decoding a massive Roman string like 'MMXXIV' often meant multiple steps: identifying the subtractive rules (like IV) and then calculating the total. It was manual arithmetic every time.

Now you just ask your agent to use `convert_from_roman(roman='MMXXIV')`. You get the clean integer 2024 back instantly, without any intermediate calculations or guesswork.

What your AI can actually do with this

Dealing with historical dates, game mechanics, or academic numbering systems means you need accuracy; you don't need educated guesses. When standard LLMs handle number-to-numeral conversions, they often fail, inventing sequences like IIII instead of the correct IV. This MCP fixes that fundamental problem by routing all translation through a deterministic code engine.

You just give it an integer or a Roman string, and it guarantees a mathematically perfect result every single time. The process handles complex formatting rules, immediately rejecting invalid inputs so your data integrity stays rock solid.

Connecting this converter via Vinkius means you can call this logic directly from any compatible agent, treating number conversion like just another API endpoint. You'll get reliable results for both converting standard numbers into Roman notation and decoding massive Roman strings back to integers, giving you a single source of truth for numeral data.

Built · Hosted · Managed by Vinkius Roman Numeral Converter - Math Utility MCP
Server ID 019e38e5-c448-7090-b6d2-70c39cc24e4b
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Questions you might have

Can I convert non-standard numbers using `convert_to_roman`? +

No. The tool strictly supports integers between 1 and 3999, which is the mathematically valid range for standard classical Roman notation.

What happens if I use `convert_from_roman` with an invalid string? +

The tool won't attempt a conversion. It uses built-in regex validation and returns a specific error indicating that the format is incorrect, protecting your workflow.

Is this MCP reliable for dates like 1776? +

Yes. Since it uses a deterministic engine, it handles complex years like MDCCLXXVI (1776) accurately every time you run convert_from_roman.

Does this MCP handle zero or negative numbers? +

No, the tool is designed for positive integers and standard Roman notation. It will return an error if you pass a value outside the 1-3999 range to convert_to_roman.

What is the maximum range for `convert_to_roman`? +

The tool supports integers from 1 through 3999. If you attempt to convert a number outside this strict range, the conversion will fail and return an error code instead of generating incorrect numerals.

If I pass non-string data to `convert_from_roman`, what happens? +

The tool requires its input to be a Roman numeral string. If you attempt to use it with a different data type, like an array or number, your AI client will receive an immediate type validation error before any conversion attempts happen.

How reliable is the math when using both `convert_to_roman` and `convert_from_roman`? +

The system is deterministic. If you convert a number to Roman numerals, and then immediately run it back through the decoding tool, the result will always match the original integer input.

Does the conversion process using `convert_to_roman` handle speed or latency issues? +

It runs on a pure JavaScript runtime. This architecture guarantees fast performance because it doesn't rely on external packages, keeping the data flow quick and direct for your agent.

Why use an MCP for Roman numerals instead of the AI? +

Roman numerals follow strict subtractive notation rules (e.g., 4 is IV, not IIII). LLMs often generate valid-looking but mathematically incorrect strings. An algorithmic conversion engine ensures 100% adherence to standard historical formatting.

What is the maximum number it can convert? +

Standard Roman numerals do not officially support numbers larger than 3,999 (MMMCMXCIX). The engine includes strict range validation to prevent malformed data above this threshold.

Does it validate bad inputs like 'IIII'? +

Yes. The convert_from_roman tool utilizes a strict regular expression validation protocol. If you pass an invalid sequence, it will immediately reject it rather than computing a false integer.

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