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DashinIN

x5-mcp

by DashinIN

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    • A
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      B
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      Enables AI agents to interact with local SQLite databases with full CRUD, schema introspection, foreign key relations, generated columns, and multi-format import/export (CSV, JSON, XLSX) through natural language.
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    • A
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      Enables AI assistants to manage personal expenses by adding, querying, and summarizing expense data through a SQLite database and configurable categories.
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    • F
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      Parses PDF receipts to extract grocery and shopping expenses, automatically categorizes items using smart rules and LLM fallback, and stores them in a local SQLite database for querying purchase history and spending patterns.
      3
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    TDQS

    A3.7/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool targets a distinct function: syncing, sync status, receipt browsing/detail, spending, product search, product history, top products, categories, category spending, and price changes. The two spending-related tools are clearly separated by receipt totals versus estimated category totals.

    Naming Consistency5/5

    All names follow a consistent x5_ prefix and snake_case convention, with read operations predominantly using x5_get_* plus clearly distinct action verbs like x5_sync_history and x5_search_purchases. There is no mixing of naming styles.

    Tool Count5/5

    Eleven tools is well within the ideal range and each tool contributes a clear part of the workflow: data ingestion, status checking, receipt access, and analytics. None feel redundant or unnecessary.

    Completeness4/5

    The surface covers the full local receipt analytics workflow: sync, verify sync status, list/read receipts, search products, and perform spending/category/price analysis. Minor limitations such as large imports being delegated to CLI and receipts with more than 500 line items not being paginated prevent a perfect score.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues