Splitwise MCP Server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Splitwise MCP Server
A custom MCP (Model Context Protocol) server that connects to your Splitwise account. Query your expenses, see who owes whom, and get category-wise spending breakdowns — all from your MCP client (Claude Desktop, Gemini CLI, etc).
Read-only · INR only
Features
Tool | Description |
| Your Splitwise user info |
| Friends with INR balances (who owes whom) |
| All groups with members and balances |
| Fetch expenses with date/group/friend filters |
| ⭐ Category-wise spending breakdown |
| All Splitwise categories & subcategories |
Related MCP server: splitwise-mcp
Setup
1. Get Splitwise API Credentials
Click Register your application
Fill in any name/description/URL (they can be placeholders)
After registering, you'll see your Consumer Key and Consumer Secret
On the same page, you'll find your API Key — this is tied to your personal account
2. Configure Credentials
Copy the example env file and fill in your credentials:
cp .env.example .envEdit .env:
SPLITWISE_CONSUMER_KEY=your_consumer_key
SPLITWISE_CONSUMER_SECRET=your_consumer_secret
SPLITWISE_API_KEY=your_api_key3. Install Dependencies
# Create a virtual environment (recommended)
python -m venv .venv
# Activate it
# Windows:
.venv\Scripts\activate
# macOS/Linux:
source .venv/bin/activate
# Install
pip install -e .4. Test with MCP Inspector
fastmcp dev inspector server.pyThis opens a web UI where you can test each tool interactively.
5. Configure Your MCP Client
Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"splitwise": {
"command": "python",
"args": ["c:\\Project\\Spark MCP\\server.py"],
"env": {
"SPLITWISE_CONSUMER_KEY": "your_key",
"SPLITWISE_CONSUMER_SECRET": "your_secret",
"SPLITWISE_API_KEY": "your_api_key"
}
}
}
}Gemini CLI
Add to your ~/.gemini/settings.json:
{
"mcpServers": {
"splitwise": {
"command": "python",
"args": ["c:\\Project\\Spark MCP\\server.py"],
"env": {
"SPLITWISE_CONSUMER_KEY": "your_key",
"SPLITWISE_CONSUMER_SECRET": "your_secret",
"SPLITWISE_API_KEY": "your_api_key"
}
}
}
}Example Prompts
Once configured, try asking your AI assistant:
"How much have I spent this month?"
"Show me my spending by category for the last 3 months"
"Who owes me money?"
"What are my recent expenses in the Flat group?"
"What's my total spending on food this year?"
License
MIT
Tool Schema Changelog
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