# splitwise-mcp

> splitwise-mcp — chrischall-splitwise-mcp. Use this tool when you need to manage expenses, track balances, and interact with friends and groups on Splitwise using natural language commands. It solves problems of manual expense tracking and provides a conversational interface to access and update Splitwise data. Input natural language queries and receive outputs of expense reports, balance updates, and group information.

Canonical page: https://skillsregistry.net/skills/chrischall-splitwise-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chrischall-splitwise-mcp

## Description

Connects Claude to Splitwise for natural-language access to expenses, groups, friends, and balances.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dru4k8nelt)
- **Repository:** <https://github.com/chrischall/splitwise-mcp>

## 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": "chrischall-splitwise-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chrischall-splitwise-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chrischall-splitwise-mcp/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