databasesfinance

Trackor

by at0mxploit

Trackor — simple personal expense tracking and money management using SQLite for secure, efficient budgeting and financi

Personal expense tracking and financial management through SQLite database operations.

github stars

3

Remote deployment availableLocal SQLite storageStreamlit web interface included

best for

  • / Personal finance tracking and budgeting
  • / Small business expense management
  • / Financial analysis and reporting

capabilities

  • / 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

what it does

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

about

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

MIT

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

readme

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.

<img width="829" height="366" alt="test" src="https://github.com/user-attachments/assets/bced55ea-eecb-4d9a-bd54-a7c44e498617" />

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.

FAQ

What is the Trackor MCP server?
Trackor is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Trackor?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Trackor is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Trackor against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Trackor is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Trackor reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Trackor for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Trackor surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Trackor has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Trackor benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Trackor into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Trackor is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.