# SplitwiseMCP

> Use this tool when you need to manage Splitwise expenses, friends, and groups through natural language commands. It solves problems of manual expense tracking and group management by providing a local MCP server for AI clients like Codex and Claude. The tool takes natural language inputs and outputs managed expenses, friend lists, and group updates, ideal for use in shared household or group expense scenarios.

Canonical page: https://skillsregistry.net/skills/netengbuff-splitwisemcp  
JSON: https://api.skillsregistry.net/v1/skills/netengbuff-splitwisemcp

## Description

A local MCP server that enables AI clients like Codex, Claude Code, and Claude Desktop to manage Splitwise expenses, friends, groups, and more through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sj6adijofz)
- **Repository:** <https://github.com/NetEngBuff/SplitwiseMCP>

## 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": "netengbuff-splitwisemcp"
    }
  }
}
```

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

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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