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Manage and summarize expense records in a local SQLite database with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Expense Tracker MCP Server" yet — see the docs or source repo.
Please add a new expense record: lunch today cost 38 CNY, category dining, note: meeting with a client.
A new expense record is created and the saved result or record details are returned.
Find all transportation expenses from the last 30 days and list them from highest to lowest amount.
A filtered list of matching expense records is returned for quick review.
Summarize my expenses for this month, group them by category, and tell me the top three spending areas.
A category-based spending summary is produced, highlighting the highest spending areas.
Office workers or students can record expenses in everyday language without manually operating a database. It is useful for quickly organizing scattered spending into a local ledger.
When users need to find, update, or delete past expense records, they can do it through natural language. This is helpful for fixing wrong amounts, duplicate entries, or incorrect categories.
Data analysts or personal budgeting users can ask AI to summarize expense records and quickly understand spending patterns. It is suitable for reviewing spending over a time period and identifying major expense areas.
It enables AI assistants to create, retrieve, update, delete, search, and summarize expense records in a local SQLite database through natural language.
The provided description indicates that data is stored in a local SQLite database. The exact database file location and schema are not provided; see the source repository.
The available material only states that it is an MCP server and does not include installation steps, dependencies, or key requirements. Please see the source repository for details.
Track, filter, and summarize personal expenses with SQLite-backed storage.
Track, list, and summarize categorized expenses through natural language.
Track, list, and summarize expenses by category with local SQLite storage.
Manage personal expenses conversationally with updates, deletions, and summary views.
Track expenses, manage budgets, and analyze personal finance trends by chat.
Track, review, and summarize expenses by category, date, or amount.