Expense Tracker MCP
Enables logging, querying, and summarizing personal expenses via natural language, with tools for adding, listing, and aggregating spending by category.
README
Expense Tracker MCP
A personal expense tracking server built with FastMCP that exposes tools and resources via the Model Context Protocol (MCP). Connect it to any MCP-compatible AI client (Claude Desktop, Cursor, etc.) to log, query, and summarize your spending through natural language.
Features
- Add expenses — record date, amount, category, optional subcategory, and a free-text note
- List expenses — retrieve all entries within any date range
- Summarize spending — aggregate totals by category, optionally filtered to a single category
- Category reference — a live-reloadable resource (
expense://categories) exposes all valid categories and subcategories so the AI always suggests valid values
Tech Stack
| Component | Technology |
|---|---|
| MCP framework | FastMCP ≥ 3.1 |
| Database | SQLite (file-based, zero config) |
| Runtime | Python ≥ 3.12 |
Project Structure
expense-tracker-mcp/
├── main.py # MCP server — tools & resource definitions
├── categories.json # Category / subcategory taxonomy (editable at runtime)
├── expenses.db # SQLite database (auto-created on first run)
├── pyproject.toml # Project metadata & dependencies
└── README.md
Getting Started
1. Clone and install dependencies
git clone <repo-url>
cd expense-tracker-mcp
uv sync
2. Run the server
uv run python main.py
The server starts and listens for MCP connections. The expenses.db SQLite file is created automatically next to main.py on the first run.
3. Connect to an MCP client
Claude Desktop
Add the following block to your claude_desktop_config.json:
{
"mcpServers": {
"expense-tracker": {
"command": "uv",
"args": ["run", "--directory", "/absolute/path/to/expense-tracker-mcp", "python", "main.py"]
}
}
}
Cursor / other clients
Follow your client's MCP configuration guide, pointing the command at the same Python executable and main.py.
MCP Tools
add_expense
Add a new expense entry.
| Parameter | Type | Required | Description |
|---|---|---|---|
date |
string |
Yes | ISO 8601 date, e.g. 2026-03-09 |
amount |
number |
Yes | Expense amount (positive value) |
category |
string |
Yes | Top-level category (see categories below) |
subcategory |
string |
No | Subcategory within the category |
note |
string |
No | Free-text description |
Returns: { "status": "ok", "id": <inserted row id> }
list_expenses
Retrieve all expenses within a date range (inclusive).
| Parameter | Type | Required | Description |
|---|---|---|---|
start_date |
string |
Yes | ISO 8601 start date |
end_date |
string |
Yes | ISO 8601 end date |
Returns: Array of expense objects with fields id, date, amount, category, subcategory, note.
summarize
Aggregate total spending by category within a date range.
| Parameter | Type | Required | Description |
|---|---|---|---|
start_date |
string |
Yes | ISO 8601 start date |
end_date |
string |
Yes | ISO 8601 end date |
category |
string |
No | Filter to a single category |
Returns: Array of { "category": "...", "total_amount": <number> } objects, ordered alphabetically.
MCP Resource
expense://categories
Returns the full categories.json file as application/json. The file is read from disk on every request, so you can add or rename categories without restarting the server. The AI uses this resource to suggest valid category and subcategory values when logging expenses.
Categories
The taxonomy ships with 18 top-level categories:
| Category | Example Subcategories |
|---|---|
food |
groceries, dining_out, delivery_fees |
transport |
fuel, public_transport, cab_ride_hailing |
housing |
rent, repairs_service, furnishing |
utilities |
electricity, internet_broadband, mobile_phone |
health |
medicines, doctor_consultation, fitness_gym |
education |
books, courses, online_subscriptions |
family_kids |
school_fees, daycare, toys_games |
entertainment |
movies_events, streaming_subscriptions, games_apps |
shopping |
clothing, electronics_gadgets, home_decor |
subscriptions |
saas_tools, cloud_ai, music_video |
personal_care |
salon_spa, grooming, cosmetics |
gifts_donations |
gifts_personal, charity_donation, festivals |
finance_fees |
bank_charges, interest, brokerage |
business |
hosting_domains, marketing_ads, contractor_payments |
travel |
flights, hotels, visa_passport |
home |
household_supplies, cleaning_supplies, small_repairs |
pet |
food, vet, grooming |
taxes |
income_tax, gst, filing_fees |
Every category also accepts "other" as a catch-all subcategory. Edit categories.json freely to add your own.
Example Prompts
Once connected to an AI client:
Add an expense: ₹450 on groceries today
List all my expenses for February 2026
Summarize my spending between 2026-01-01 and 2026-03-09
How much did I spend on food and transport this month?
Development
Inspect with MCP Inspector
FastMCP 3.x ships with an interactive inspector. Launch it with:
uv run fastmcp dev inspector main.py
This opens the MCP Inspector UI in your browser so you can call tools and browse resources interactively without a full AI client.
Reset the database
The schema is initialised automatically via init_db() on first run. To wipe all data:
rm expenses.db
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