Vinkius
Tip Splitter

Tip Splitter MCP. Calculate accurate costs from shared bills.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Deterministic Fair-Share Tip Splitter calculates complex restaurant bills precisely. It splits costs based on individual items consumed, then proportionally applies taxes and tips across all parties.

Crucially, it resolves fractional penny discrepancies automatically, guaranteeing 100% mathematical closure for the entire group.

What your AI agents can do

Split bill

This function calculates individual shares by accepting a JSON array of items, total tax amounts, and tip percentages for proportional distribution.

Calculate proportional cost splits

The tool determines each person's share of the bill, correctly distributing taxes and tips based on individual items.

Handle shared item costs

It dynamically maps a single menu item to multiple consumers, splitting its cost before applying any secondary rates.

Reconcile penny discrepancies

The MCP guarantees 100% mathematical closure by automatically adjusting for missing or extra fractional cents in the total.

Supported MCP Clients

OAuth 2.0 Compatible
Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
Vinkius runs on Zendesk Zendesk
+ other MCP clients
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AI Agent

Deterministic Fair-Share Tip Splitter: 1 Tool

The single tool available calculates bill shares based on individual items consumed, ensuring proportional distribution of taxes and tips.

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 Fair-Share Tip Splitter on Vinkius
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split bill

This function calculates individual shares by accepting a JSON array of items, total tax amounts, and tip percentages for proportional distribution.

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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 server provides 1 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

The nightmare of reconciling group expenses

You know the drill: The dinner ends, and someone pulls out a massive receipt. Everyone remembers their items, but taxes and tips are added last. You end up in an awkward round table discussion, pulling out your phone to calculate who owes what, cross-checking percentages and worrying if you missed that single penny discrepancy.

With this MCP, you simply hand the data—the item list, the tax rate, the tip percentage—to your agent. It handles the math instantly. You get a clean, final breakdown showing exactly how much each person owes, guaranteed to balance perfectly.

Deterministic Fair-Share Tip Splitter: Precise Splits

The need for complex calculations—mapping shared appetizers vs. individual drinks, and then applying proportional tax/tip rates—disappears. You don't have to worry about the subtle errors or assumptions that plague general AI models.

It’s not just a splitter; it’s an accounting engine. It delivers undeniable mathematical certainty for every single dollar.

What you can do with this MCP connector

Splitting a bill after dinner is always math-heavy. When you have shared appetizers alongside specific drinks, plus tax and tip percentages, general AI models struggle; they often hallucinate decimal distributions or fail to balance the final total. This MCP handles that exact calculation using an internal V8 engine. It first maps consumption: it knows if Nachos were for two people or just one.

Then, it calculates each person's base share. Finally, it takes care of the secondary rates—tax and tip—by distributing them proportionally across everyone’s calculated total. If a fractional cent leaves a discrepancy between the individual shares and the actual receipt amount, the MCP automatically reconciles that penny. You can connect this through Vinkius and let your agent handle financial math that usually requires an Excel sheet.

Built · Hosted · Managed by Vinkius Tip Splitter - Calculate Proportional Bill Shares Server ID 019e38fc-607f-720a-9a2b-c2dcd7e38aa2
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Score 100/100
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Common Questions About Tip Splitter MCP

How does deterministic fair-share tip splitter handle shared items? +

The MCP maps the item first. When you use split_bill, it determines that a shared item, like Nachos, is split proportionally among all listed consumers before calculating the individual base costs.

Is this tool better than just splitting by equal shares? +

Yes. If you divide expenses equally, you ignore consumption differences and fail to allocate tax/tip proportional to usage. This MCP calculates based on actual item value.

Does the split_bill function fix penny rounding issues? +

Absolutely. The core strength of this tool is its reconciliation algorithm; it guarantees that the sum of all individual payments equals the original grand total, even down to the cent.

What inputs does I need for split_bill? +

You must provide three things: a JSON array detailing the items and who ordered them, the total tax amount, and the tip percentage.

How does using the split_bill function perform when handling many line items? +

The calculation is extremely fast because it runs natively within a rigorous V8 mathematical engine. This guarantees quick, deterministic results even with complex ratios and numerous consumed items.

If my bill details are incomplete, what happens when running split_bill? +

The tool requires all necessary inputs, including the total taxAmount and tipPercentage. Providing partial or malformed data will trigger an immediate validation error, preventing any inaccurate calculations.

Is the split_bill function compatible with various AI agents and clients? +

Yes. Because this MCP adheres to the Model Context Protocol standard, any AI client connected via Vinkius can access and use it. It works regardless of your agent's underlying technology.

Does split_bill support currencies other than USD? +

The core mathematical engine supports various currency formats. You just need to ensure that the input data you pass to the function is correctly structured and formatted for calculation.

How does it handle shared items like an appetizer? +

The agent passes an array of 'consumers' for each item. If 'Nachos' ($15) has consumers ['John', 'Jane'], the engine automatically divides the base cost ($7.50 each) before proportionally applying their individual tax and tip burden.

Why do LLMs fail at this without an MCP? +

LLMs lack true mathematical persistence. When calculating multi-step proportions (subtotal -> ratio -> tax allocation -> tip allocation -> fractional rounding), they often lose tracking of pennies, resulting in individual totals that don't add up to the receipt's grand total.

What is the 'Penny Reconciliation Algorithm'? +

Due to floating-point toFixed(2) rounding on 5 different people, the sum of individual owed amounts might equal $100.01 while the actual grand total is $100.00. The engine detects this and surgically subtracts or adds the penny discrepancy to guarantee an exact match.

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Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on Windsurf Windsurf
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
+ other MCP clients

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