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RafeefSholy

Personal Expense Tracker MCP

by RafeefSholy

Personal Expense Tracker MCP

Что этот проект делает

Personal Expense Tracker MCP — это простой локальный MCP-сервер для учёта личных расходов

Он хранит данные о расходах в локальном CSV-файле

Сервер предоставляет MCP-клиенту пять инструментов

  • добавить новый расход

  • вывести список сохранённых расходов

  • создать сводку по расходам

  • обновить существующий расход

  • удалить существующий расход

Проект создан простым и лёгким для локального запуска

Ни банковский счёт, ни внешний API не нужны


Related MCP server: Expense Tracker MCP

Требования

Перед началом убедитесь, что у вас установлено

  • Node.js версии 20 или нове

  • npm

  • Git

Проверьте Node.js

node --version

Проверьте npm

npm --version

Проверьте Git

git --version

Установка

1 Клонируйте репозиторий

git clone https://github.com/MohammadYousef-001/Personal-Expenses-Tracker.git

2 Перейдите в папку проекта

cd Personal-Expenses-Tracker

3 Установите пакеты

npm install

Дождитесь, пока npm завершит установку необходимых пакетов


Файл данных

Расходы хранятся локально в

data/expenses.csv

В CSV-файле используются такие столбцы

id,amount,category,date,description

Не меняйте названия столбцов


Запуск MCP-сервера

Чтобы запустить сервер, выполните

npm run dev

Сервер использует стандартный ввод и вывод для MCP-взаимодействия

Это локальный сервер, и ему не нужен веб-порт


Запуск MCP Inspector

MCP Inspector — это самый простой способ проверить инструменты вручную

Выполните

npm run inspect

В браузере должно открыться окно с MCP Inspector

Если оно не открылось автоматически, используйте URL, указанный в терминале

В Inspector

  1. подключитесь к серверу

  2. откройте раздел Tools

  3. выберите инструмент

  4. введите входные данные

  5. нажмите Execute Tool

  6. проверьте результат


Доступные инструменты

Инструмент

Что делает

Основные входные параметры

add_expense

добавляет новый расход в CSV-файл

amount category date description

list_expenses

выводит сохранённые расходы и может их фильтровать

month category

get_spending_summary

вычисляет итоговые расходы за месяц

month

update_expense

обновляет один существующий расход

id and at least one expense field

delete_expense

удаляет один существующий расход

id


Инструмент 1: add_expense

Используйте add_expense, чтобы сохранить новый расход

Входные данные

amount

Сумма потраченных денег

Она должна быть положительным числом

category

Категория расхода

Примеры

groceries
transport
bills
shopping

Категория хранится в нижнем регистре, поэтому названия категорий остаются единообразными

date

Дата расхода

Она должна использовать

YYYY-MM-DD

Пример

2026-08-12

Дата также должна быть реальной календарной датой

Это недопустимо

2026-99-99

description

Необязательная краткая информация о расходе

Пример

{
  "amount": 25,
  "category": "groceries",
  "date": "2026-08-12",
  "description": "milk and bread"
}

Успешный запрос добавляет расход в

data/expenses.csv

Инструмент 2: list_expenses

Используйте list_expenses, чтобы просмотреть сохранённые расходы

Без фильтров

{}

Фильтр по категории

{
  "category": "groceries"
}

Фильтр по месяцу

{
  "month": "2026-08"
}

Используйте оба фильтра

{
  "month": "2026-08",
  "category": "groceries"
}

Месяц должен использовать

YYYY-MM

Месяц должен быть между 01 и 12

Это недопустимо

2026-99

Инструмент 3: get_spending_summary

Используйте get_spending_summary, чтобы увидеть сводку по расходам

Пример

{
  "month": "2026-08"
}

Результат может включать

  • выбранный месяц

  • общую сумму расходов

  • количество расходов

  • общую сумму расходов по каждой категории

Пример результата

month: 2026-08
total amount: 150
expense count: 4

category totals:
groceries: 80
transport: 30
bills: 40

Реальные значения зависят от данных в data/expenses.csv


Примерные запросы

Добавление расхода

I spent 25 on groceries today

Для этого можно использовать

add_expense

Поиск расходов

show my grocery expenses for this month

Для этого можно использовать

list_expenses

Проверка расходов

how much did I spend this month

Для этого можно использовать

get_spending_summary

Валидация входных данных

Проект проверяет входные данные инструмента перед его использованием

Примеры недопустимых данных

  • отрицательная сумма

  • нулевая сумма

  • ошибочный формат даты

  • невозможная календарная дата

  • недопустимый месяц

  • слишком длинная категория

  • слишком длинное описание

Недопустимые данные отклоняются до сохранения


Тестирование схем

Выполните

npm run check:schema

При успешном выполнении должно появиться

All expense schemas are valid.

Устранение неполадок

Проблема 1: отсутствуют пакеты

Если вы видите ошибку о том, что пакет или модуль не найден, выполните

npm install

Затем попробуйте снова

npm run dev

Проблема 2: MCP Inspector не запускается

Убедитесь, что пакеты установлены

npm install

Затем выполните

npm run inspect

Если старый процесс Inspector всё ещё работает, нажмите

Ctrl + C

Затем снова запустите Inspector


Проблема 3: ошибка TypeScript или схемы

Выполните

npm run check:schema

Если всё правильно, вы должны увидеть

All expense schemas are valid.

Если есть ошибка, проверьте имя файла и номер строки, указанных в терминале

Исправьте ошибку перед повторным запуском Inspector


Проблема 4: недопустимая дата

Допустимая дата должна использовать

YYYY-MM-DD

Допустимый пример

2026-08-12

Недопустимый пример

2026-99-99

Проблема 5: расходы не возвращаются

Проверьте

data/expenses.csv

Убедитесь, что в файле есть строки с расходами под заголовком CSV

Если файл содержит только заголовок, пустой результат — это нормально


Структура проекта

Важные файлы проекта

Personal-Expenses-Tracker/
│
├── data/
│   └── expenses.csv
│
├── docs/
│   ├── design.md
│   └── threat-model.md
│
├── examples/
│
├── src/
│   ├── index.ts
│   ├── schemas/
│   ├── tools/
│   └── lib/
│
├── SECURITY.md
├── package.json
└── README.md

Безопасность

Входные данные инструментов считаются недоверенными

Проект проверяет входные данные перед важными операциями

Путь к файлу с расходами контролируется приложением

Ошибки, возвращаемые MCP-клиенту, остаются краткими

Более подробные ошибки остаются в локальном терминале для отладки

Инструменты для работы с расходами не требуют внешних сетевых запросов

Дополнительные сведения о безопасности доступны в

SECURITY.md

Область проекта

Этот проект — небольшой локальный учётный журнал личных расходов

Он не включает

  • подключения к банковским счетам

  • автоматический импорт из банка

  • вход пользователя

  • облачную базу данных

  • полноценное графическое приложение

  • финансовое прогнозирование

Основная цель — предоставить простые MCP-инструменты для локального ведения учёта расходов

License

Этот проект использует лицензию MIT

См. LICENSE

Available Tools

5 tools
add_expenseC

add a new expense

ParametersJSON Schema
NameRequiredDescriptionDefault
dateYesThe expense date in YYYY-MM-DD format
amountYesThe expense amount, up to 1000000
categoryYesThe normalized expense category
descriptionNoA short optional description of the expense

TDQS

C2.4/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate readOnlyHint=false, so the description does not need to restate that this is a write operation. However, it adds no behavioral context beyond what the name implies—it simply restates 'add a new expense', which is effectively a tautology. There is no mention of side effects, idempotency, validation rules, or what happens on conflict, making it entirely uninformative for behavioral expectations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short (five words), which could be seen as concise, but it is under-specified rather than efficiently structured. It lacks any front-loaded information beyond a bare verb phrase. There is no hierarchy of information; it is merely a label, failing to earn its place by providing any useful detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With four parameters, three of which are required, and no output schema, the description is completely inadequate. It does not mention required fields, expected input format (though schema covers this), possible side effects, or return behavior. An agent has no way to anticipate the tool's behavior or success criteria beyond the raw schema, making the description insufficient for correct invocation in a meaningful context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema provides 100% coverage of all four parameters, including descriptions for amount, category, date, and optional description. The description adds no parameter-specific meaning, so the baseline score of 3 applies. While the description doesn't harm parameter understanding, it also doesn't supplement the schema or clarify relationships between parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'add a new expense' conveys a clear verb (add) and resource (expense). It is distinct from sibling tools like update_expense and delete_expense simply by the verb 'add', so an agent can infer its core purpose. However, it does not explicitly distinguish itself from potential overlap or specify any scope (e.g., personal vs. shared), so it stops short of full differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, context, or when 'add' is preferred over 'update' or other siblings. An agent is left to infer usage purely from the tool name and schema, which is insufficient for a choice among several expense-related tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

delete_expenseA
Destructive

delete an existing expense by ID

ParametersJSON Schema
NameRequiredDescriptionDefault
idYesThe ID of the expense

TDQS

A3.8/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and readOnlyHint=false, indicating a destructive write operation. The description adds no further behavioral context beyond restating the action; it does not mention side effects, irreversibility, or the nature of the response. It does not contradict the annotations, so it meets the baseline but adds little value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that clearly communicates the action and target. It is front-loaded and contains no extraneous words, achieving appropriate brevity for a simple operation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter delete operation with no output schema, the description covers the essential purpose and key parameter. It does not describe return values or error conditions, but these are often standard for delete operations and are not critical given the tool's simplicity. The description is complete enough for an agent to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema fully covers the single parameter 'id' with a description, and the tool description also mentions 'by ID', but adds no additional semantic detail beyond what the schema provides. With 100% schema description coverage, the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'delete an existing expense by ID' clearly states the action (delete) and the resource (expense), and specifies the identifier used. It is unambiguous and easily distinguishes from siblings like add_expense, update_expense, and list_expenses through the verb and resource.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implicitly conveys usage by the verb 'delete', but it does not explicitly state when to use it versus the alternatives, nor does it mention any constraints such as required existence or irreversibility. The context is clear enough for an agent to infer usage, but no explicit guidance or exclusions are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_spending_summaryC
Read-only

get a spending summary

ParametersJSON Schema
NameRequiredDescriptionDefault
monthNoA calendar month in YYYY-MM format

TDQS

C2.8/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is fully covered and the bar is lower. The description adds only the marginal notion that this returns an aggregated summary, but does not disclose what gets aggregated or scoped. It does not contradict the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The phrase is four words with zero waste and a front-loaded verb, which is efficient. However, the brevity stems more from under-specification than from disciplined trimming, so it does not reach the level of a well-packaged, substance-complete definition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only tool with one optional parameter and annotations covering safety, this is a simple tool, but the description omits what the summary contains and what happens when month is omitted. With no output schema and no descriptive context, an agent still cannot predict the return shape or default time scope.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% — the single month parameter is fully documented with the description 'A calendar month in YYYY-MM format' and a regex pattern. Per the rubric, the baseline is 3 when the schema does the heavy lifting, and the description adds nothing beyond it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a verb ('get') and a resource ('spending summary'), and it distinguishes itself from the CRUD siblings (add/update/delete/list_expenses) as the aggregation view. However, it essentially restates the tool name ('get_spending_summary' → 'get a spending summary') and adds no new information about what the summary contains, so it sits at minimum viable rather than distinctly helpful.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to choose this tool vs its siblings. There is no mention of how a summary differs from list_expenses, when the optional month should be supplied, or what default scope applies if month is omitted. With four sibling tools, this leaves the decision entirely to the agent's inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_expensesB
Read-only

list expenses with optional filters

ParametersJSON Schema
NameRequiredDescriptionDefault
monthNoA calendar month in YYYY-MM format
categoryNoThe normalized expense category

TDQS

B3.1/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint=true, so the tool is known to be safe. The description adds no behavioral context beyond 'list expenses'—nothing about pagination, sorting, default behavior (e.g., what happens if no filters are provided), or response format. Given annotations cover safety, the description fails to enrich the agent's understanding of how the tool behaves.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, short sentence with no redundant words or filler. It is efficiently front-loaded with the core action ('list expenses') and the key feature ('optional filters'). Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (2 optional params, no nested objects, no output schema) and strong annotations, the description is minimally adequate. However, it does not explain whether the filters can be combined, what the response looks like, or if there are limits. An agent would have to infer these from the schema and typical conventions. It is complete enough for a basic call but leaves room for ambiguity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both month and category are fully described in the schema. The description's phrase 'optional filters' adds no extra meaning about semantics like combined filtering or format. The baseline is 3 because the schema carries the full load; the description offers no additional insight.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists expenses and mentions optional filters, which maps to the parameters. It is distinct from the siblings (add/update/delete/spending summary) since 'list' is unambiguous. However, it does not explicitly name the filter dimensions (month, category) or contrast with the summary tool, so it's specific but not maximally differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. The description does not mention that get_spending_summary is for aggregated data, nor does it indicate that list_expenses is for raw expense details. The usage context is only implied by the verb 'list' and not explicitly stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

update_expenseB

update an existing expense by ID

ParametersJSON Schema
NameRequiredDescriptionDefault
idYesThe ID of the expense
dateNoThe expense date in YYYY-MM-DD format
amountNoThe expense amount, up to 1000000
categoryNoThe normalized expense category
descriptionNoA short optional description of the expense

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate readOnlyHint=false and destructiveHint=false, so the mutation nature is expected. The description adds that it updates an existing expense by ID, implying the target must exist. However, it does not disclose whether it performs a partial update (only provided fields) or a full replacement, nor what happens if the ID is not found. Given the annotations, the additional information is minimal but not contradictory.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, compact sentence that front-loads the core action. There is no filler or redundant information. It earns its place with zero waste, making it exemplarily concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with 5 parameters, no output schema, and only basic annotations, the description is insufficiently complete. It does not explain the update semantics (partial vs. full), error behavior for missing ID, or what the tool returns. While parameters are covered by the schema, key operational context is absent, leaving an agent to guess.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% since every parameter (id, date, amount, category, description) has its own description in the schema. The tool description adds no parameter-specific details beyond what the schema already provides. The baseline of 3 is appropriate given the high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'update' and identifies the resource 'expense' and the key 'by ID'. It clearly distinguishes from sibling tools (add, delete, list, summary) by indicating this modifies an existing record. The purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives, such as using add_expense for new expenses or delete_expense for removal. The description relies on the tool name and context, but does not explicitly state conditions or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 5 tool updatesv0.1.0
    • First observedadd_expense
    • First observeddelete_expense
    • First observedget_spending_summary
    • First observedlist_expenses
    • First observedupdate_expense

TDQS

B3.4/5.0

Scored across 5 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: add, update, delete, list, and summarize expenses. There is zero overlap, making it easy for an agent to select the right tool for the task.

Naming Consistency5/5

All tools follow the consistent verb_noun pattern (add_expense, update_expense, delete_expense, list_expenses, get_spending_summary). This creates a predictable and uniform naming convention.

Tool Count5/5

With only 5 tools, the server is tightly scoped for a personal expense tracker. Each tool serves a necessary function without unnecessary bloat, and the count is well within the ideal range.

Completeness4/5

The toolset covers full CRUD for expenses (add, update, delete, list) plus a summary function. A minor gap is the lack of a direct 'get_expense' by ID, but the list tool with filters can likely retrieve individual expenses, so it's a workable limitation.

Maintenance

ActivitySlowing
ResponsivenessNo issues

Related MCP Connectors

Related MCP Servers

  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables users to track personal expenses through natural language interactions with comprehensive category support and financial summaries. Provides both local and remote MCP server options with SQLite storage for fast expense management operations.
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    MCP server for tracking expenses with local SQLite storage. Provides tools to add, list, and summarize expenses by category.
    -
  • F
    license
    A
    quality
    C
    maintenance
    MCP server for managing personal expenses, enabling users to add, list, and summarize expenses by category, with data stored in a local SQLite database.
    3
    -
  • F
    license
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    quality
    B
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    Enables managing and analyzing personal expenses through MCP tools, including adding expense records, listing expenses within date ranges, and summarizing spending by category, with expense categories exposed as an MCP resource.
    -