Deterministic Fair-Share Tip Splitter MCP Server for CursorGive Cursor instant access to 1 tools to Split Bill

Name: Deterministic Fair-Share Tip Splitter
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

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Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

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The Deterministic Fair-Share Tip Splitter MCP Server for Cursor is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.

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Classic Setup·json

{
  "mcpServers": {
    "deterministic-fair-share-tip-splitter": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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About Deterministic Fair-Share Tip Splitter MCP Server

Splitting a restaurant bill with shared appetizers, individual drinks, and group tips is a mathematical nightmare for LLMs. They frequently hallucinate decimal distributions and fail to balance the final grand total. The Tip Splitter MCP offloads this exact calculation to a rigorous V8 mathematical engine.

Cursor's Agent mode turns Deterministic Fair-Share Tip Splitter into an in-editor superpower. Ask Cursor to generate code using live data from Deterministic Fair-Share Tip Splitter and it fetches, processes, and writes. all in a single agentic loop. 1 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

The Superpowers

Proportional Taxation & Tipping: The engine automatically calculates each person's base subtotal based on the specific items they consumed (or shared), and then proportionally applies the exact tax and tip burden to each individual.
Penny Reconciliation Algorithm: When fractional cents create a discrepancy between the calculated individual totals and the actual receipt grand total, the engine automatically reconciles the missing or extra penny to guarantee 100% mathematical closure.
Shared Consumption Mapping: Allows mapping a single item (like 'Nachos') to multiple consumers (e.g., 'Alice' and 'Bob'). The engine dynamically splits the price before applying secondary rates.
Zero-Dependency Execution: Operates entirely natively within the V8 runtime, guaranteeing extreme speed and precision without pulling heavy external libraries.

The Deterministic Fair-Share Tip Splitter MCP Server exposes 1 tools through the Vinkius. Connect it to Cursor in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Deterministic Fair-Share Tip Splitter tools available for Cursor

When Cursor connects to Deterministic Fair-Share Tip Splitter through Vinkius, your AI agent gets direct access to every tool listed below — spanning math-precision, billing, tax-calculation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

split

Split bill on Deterministic Fair-Share Tip Splitter

You must provide the items as a stringified JSON array, along with the total taxAmount and tipPercentage. Deterministically calculates individual bill shares, proportionally distributing taxes and tips among consumers based on their exact items, and resolving rounding discrepancies

Connect Deterministic Fair-Share Tip Splitter to Cursor via MCP

Follow these steps to wire Deterministic Fair-Share Tip Splitter into Cursor. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Deterministic Fair-Share Tip Splitter

Open Agent mode in chat and ask: "Using Deterministic Fair-Share Tip Splitter, help me...". 1 tools available

Why Use Cursor with the Deterministic Fair-Share Tip Splitter MCP Server

Cursor AI Code Editor provides unique advantages when paired with Deterministic Fair-Share Tip Splitter through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Deterministic Fair-Share Tip Splitter + Cursor Use Cases

Practical scenarios where Cursor combined with the Deterministic Fair-Share Tip Splitter MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Example Prompts for Deterministic Fair-Share Tip Splitter in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Deterministic Fair-Share Tip Splitter immediately.

"Split this bill: Burger ($15) for Alice, Salad ($12) for Bob, and shared Nachos ($10) for both. Tax is $3.50 and tip is 20%."

"Three of us had a $90 steak dinner (all shared). Tax $8, tip 15%. How much each?"

"Calculate the fair split for a $45 bill where John had a $30 wine and Sarah had a $15 pasta. Tax $4, tip 18%."

Troubleshooting Deterministic Fair-Share Tip Splitter MCP Server with Cursor

Common issues when connecting Deterministic Fair-Share Tip Splitter to Cursor through Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Deterministic Fair-Share Tip Splitter + Cursor FAQ

Common questions about integrating Deterministic Fair-Share Tip Splitter MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.