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ExpenseTracker MCP Server A lightweight backend service built with FastMCP and SQLite3, designed to manage and track user expenses efficiently. It provides structured APIs for recording, updating, and analyzing daily transactions, with a focus on speed, modularity, and easy local deployment using uv environments.
Expense-Tacker-MCP-Server is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 33/100. ExpenseTracker MCP Server A lightweight backend service built with FastMCP and SQLite3, designed to manage and track user expenses efficiently. It provides stru. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Expense-Tacker-MCP-Server to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/SAYOUNCDR/Expense-Tacker-MCP-Server.gitReview the upstream source before running this command.
Scan coverage: Install metadata and repository README.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
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"fullName": "SAYOUNCDR/Expense-Tacker-MCP-Server"
}ExpenseTracker MCP Server A lightweight backend service built with FastMCP and SQLite3, designed to manage and track user expenses efficiently. It provides structured APIs for recording, updating, and analyzing daily transactions, with a focus on speed, modularity, and easy local deployment using uv environments.