一个用于 Splitwise (Splitwise) (MCP) 的模型背景协议(MCP)服务器,使AI代理能够管理费用,团体,以及使用自然语言的朋友.

□ 特性

• ** API Access**:管理费用、团体、朋友和评论。
• 自然语言分辨率:模糊相匹配名称(“约翰”-“约翰·史密斯”)和组.
• ** Dual Auth**:同时支持OAuth 2.0(推荐)和API密钥.
• ** Smart Caching**:优化诸如类别和货币等静态数据的性能。

□ 安装

□ 配置

详细认证和配置指令见SETUP.md.

QQ 快速配置 运行包含的设置脚本 :

使用那里提供的密钥,并在您的 [[T0] 中添加全部三:

** 获取您的 Auth 密钥** 您可以通过在 [[T1] 注册一个应用程序来获取您的消费密钥和秘密 。

** 重要:** 利用虚拟环境? 如果您在 [[T2] 或 Conda 环境中安装了软件包, 您必须在配置中使用 ** 绝对路径** 到 python 可执行的 python 。 翻译: 翻译:

详情见SETUP.md。

□ 使用量

服务器允许与您的 Splitwise 数据进行自然语言交互 。

** 实例:**

• “我的当前平衡是什么?”

Splitwise MCP Server

A Model Context Protocol (MCP) server for Splitwise, enabling AI agents to manage expenses, groups, and friends with natural language.

Features

• Full API Access: Manage expenses, groups, friends, and comments.
• Natural Language Resolution: Fuzzy matching for names (“John” -> “John Smith”) and groups.
• Dual Auth: Supports both OAuth 2.0 (recommended) and API Keys.
• Smart Caching: Optimizes performance for static data like categories and currencies.

Installation

# From PyPI (when published)
pip install splitwise-mcp-server

# From Source
git clone https://github.com/tarunn2799/splitwise-mcp-server
cd splitwise-mcp-server
pip install -e .

Configuration

See SETUP.md for detailed authentication and configuration instructions.

Quick Config

Run the included setup script:

python -m splitwise_mcp_server.oauth_setup

Use the keys provided there, and add all three to your mcp.json:

{
  "mcpServers": {
    "splitwise": {
      "command": "python",
      "args": ["-m", "splitwise_mcp_server"],
      "env": {
        "SPLITWISE_OAUTH_ACCESS_TOKEN": "your_token_here"
      }
    }
  }
}

Get your Auth Keys You can get your Consumer Key and Secret by registering an app at https://secure.splitwise.com/apps.

IMPORTANT: Using a Virtual Environment? If you installed the package in a venv or Conda environment, you must use the absolute path to the python executable in your config.

"command": "/absolute/path/to/venv/bin/python"

See SETUP.md for details.

Usage

The server enables natural language interactions with your Splitwise data.

Examples:

• “What’s my current balance?”
• “Split a $50 dinner with Sarah.”
• “Use the receipt I uploaded to split the dinner between Manav and me.”
• “Show me expenses from last month.”
• “Create a group called ‘Ski Trip’ with Mike.”

Tools

See TOOLS.md for detailed documentation.

User Tools

• get-current-user: Get authenticated user information
• get-user: Get information about a specific user

Expense Tools

• create-expense: Create a new expense with splits
• get-expenses: List expenses with optional filters
• get-expense: Get detailed expense information
• update-expense: Update an existing expense
• delete-expense: Delete an expense

Group Tools

• get-groups: List all groups
• get-group: Get detailed group information
• create-group: Create a new group
• delete-group: Delete a group
• add-user-to-group: Add a user to a group
• remove-user-from-group: Remove a user from a group

Friend Tools

• get-friends: List all friends
• get-friend: Get detailed friend information

Resolution Tools

• resolve-friend: Fuzzy match friend names to user IDs