Skip to main content
Glama
tarunn2799

splitwise-mcp

by tarunn2799

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.

Related MCP server: Expense Tracker MCP

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

  • resolve-group: Fuzzy match group names to group IDs

  • resolve-category: Fuzzy match category names to category IDs

Comment Tools

  • create-comment: Add a comment to an expense

  • get-comments: Get all comments for an expense

  • delete-comment: Delete a comment

Utility Tools

  • get-categories: Get all expense categories

  • get-currencies: Get all supported currencies

Arithmetic Tools

  • add: Add multiple numbers

  • subtract: Subtract numbers

  • multiply: Multiply numbers

  • divide: Divide numbers

  • modulo: Calculate remainder

Development

# Setup
git clone https://github.com/tarunn2799/splitwise-mcp-server
cd splitwise-mcp-server
python -m venv venv
source venv/bin/activate
pip install -e ".[dev]"

# Test
pytest

License

MIT License. See LICENSE for details.

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    -
    quality
    D
    maintenance
    Enables AI assistants to manage Splitwise expenses with atomic duplicate prevention, smart fuzzy matching, and support for flexible split ratios between two people.
    Last updated
    MIT
  • F
    license
    -
    quality
    D
    maintenance
    Provides tools for natural language expense management, including automated categorization using embeddings and real-time transaction tracking. It enables users to create expenses, generate spending summaries, and analyze subscriptions through the Model Context Protocol.
    Last updated
  • A
    license
    A
    quality
    D
    maintenance
    An MCP server for Splitwise that enables users to manage shared expenses, friends, and groups directly through AI assistants. It allows for creating, deleting, and listing expenses while providing tools to track net balances and group debts.
    Last updated
    8
    591
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    Enables conversational control of Splitwise accounts through Claude AI, allowing users to add expenses, check group balances, record settlements, and manage payment splits using natural language commands. Supports multiple currencies and flexible splitting methods including equal, exact, and percentage-based divisions.
    Last updated
    1
    MIT

View all related MCP servers

Related MCP Connectors

  • Hosted MCP server for LLM cost estimation, model comparison, and budget-aware routing.

  • User-owned memory for AI agents, Copilot, Claude, IDEs, CLIs, and chat apps over remote MCP.

  • Agent Cost Allocator MCP — multi-tenant LLM cost attribution for chargeback billing. Companion to

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tarunn2799/splitwise-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server