Trackor

Trackor

at0mxploit

Tracks personal expenses using a SQLite database with categorization, filtering, and export capabilities. Provides comprehensive expense management through CRUD operations and financial summaries.

Personal expense tracking and financial management through SQLite database operations.

3187 views1Remote

What it does

  • Add expenses with dates, amounts, and categories
  • Filter expenses by date ranges and categories
  • Generate expense summaries and statistics
  • Update or delete existing expense entries
  • Export expense data to JSON or CSV
  • Bulk delete expenses by date range

Best for

Personal finance tracking and budgetingSmall business expense managementFinancial analysis and reporting
Remote deployment availableLocal SQLite storageStreamlit web interface included

About Trackor

Trackor is a community-built MCP server published by at0mxploit that provides AI assistants with tools and capabilities via the Model Context Protocol. Trackor — simple personal expense tracking and money management using SQLite for secure, efficient budgeting and financi It is categorized under databases, finance. This server exposes 9 tools that AI clients can invoke during conversations and coding sessions.

How to install

You can install Trackor in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

License

Trackor is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

Tools (9)

add_expense

Add a new expense entry to the database. Args: date: Expense date (YYYY-MM-DD format) amount: Expense amount category: Main category (e.g., Food, Transportation) subcategory: Optional subcategory (e.g., Groceries, Restaurants) note: Optional note about the expense

get_expense

Get a specific expense by ID.

list_expenses

List expense entries with optional filters. Args: start_date: Start date filter (YYYY-MM-DD) end_date: End date filter (YYYY-MM-DD) category: Filter by category limit: Maximum number of records to return

update_expense

Update an existing expense entry. Args: expense_id: ID of expense to update date: New date (YYYY-MM-DD) amount: New amount category: New category subcategory: New subcategory note: New note

delete_expense

Delete an expense entry by ID.

Trackor

This is a custom MCP (Model Context Protocol) server and dumb client built with FastMCP and Streamlit.
It provides tools to track expenses, including adding, listing, summarizing, updating, and exporting data.

The server uses a local SQLite database (expenses.db) and a categories.json file for expense categories.

Tools & Resources

TOOLS (callable actions that perform operations):
- add_expense                 : Create a new expense entry
- get_expense                 : Fetch a single expense by ID
- list_expenses               : List expenses with optional filters
- update_expense              : Modify an existing expense
- delete_expense              : Remove one expense by ID
- delete_expenses_by_date_range : Remove all expenses within a date range
- summarize                   : Summarize expenses by category/subcategory
- get_statistics              : Return overall stats and monthly breakdown
- export_expenses             : Export all expenses in JSON or CSV format

RESOURCES (read-only data exposed by the server):
- expense://categories        : Provides the categories.json file (list of categories/subcategories)

Dumb MCP Client

It is Dumb MCP Client meaning without any LLM (I am poor for pro) that uses MCP Server https://at0mxploit.fastmcp.app/manifest.dxt.

Remote Deployment

It is already deployed in https://dumbclient-trackor.streamlit.app/ using Streamlit Cloud.

Local Deployment

streamlit run dumb_client/app.py

MCP Server

Remote Deployment (Easiest)

It is already deployed using FastMCP Cloud, you just need to drag this DXT File https://at0mxploit.fastmcp.app/manifest.dxt to Claude Extension. This automatically configures the server for Claude and includes all tools and resources. (Currently available only in Pro). It's setup for all different models and tools but I use Claude so.

test

Local Development

Claude Connectors (remote MCP URLs) are only available for Pro users. However, non-Pro Claude Desktop users can still use this MCP server by running a local proxy.

This repository includes a proxy/ folder with a simple FastMCP STDIO bridge.

Install dependencies:

uv sync

Run MCP:

uv run main.py

Run MCP Proxy:

uv run proxy/main.py

We can also if we want use Inspector to test JSON RPC calls in MCP:

 uv run fastmcp dev .\main.py

Claude Desktop no longer auto-loads raw MCP scripts.
If you're not using Claude Pro, you must install the included desktop extension:

npm install -g @anthropic-ai/mcpb
mcpb pack proxy/ trackor-proxy.mcpb

This will generate trackor-proxy.mcpb.

  1. Go to Settings → Extensions → Advanced → Install Extension…
  2. Select trackor-proxy.mcpb
  3. Claude will load the MCP server via the local STDIO proxy.

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