# xupersplit

> xupersplit — kanylbullen-xupersplit. Use this tool when you need to manage and settle shared expenses among multiple individuals. It solves problems of complex expense splitting, tracking payments, and determining the fewest necessary transfers to resolve debts. The tool takes in names, payment amounts, and weighted shares as inputs and outputs a summary of who owes whom, with the fewest transfers needed to settle all debts.

Canonical page: https://skillsregistry.net/skills/kanylbullen-xupersplit  
JSON: https://api.skillsregistry.net/v1/skills/kanylbullen-xupersplit

## Description

Runs an entire shared-expense split from an assistant: create one, add what each
person paid (equally, by weighted shares or exact amounts), record paybacks, and
read back who owes whom as the fewest transfers. Eleven tools covering the whole
lifecycle, with no account and no API key — people are referred to by name and
amounts are plain decimals, so an agent never handles uuids or cents.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dewfmpyfdy)
- **Repository:** <https://github.com/kanylbullen/xupersplit>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kanylbullen-xupersplit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kanylbullen-xupersplit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kanylbullen-xupersplit/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt