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CSV MCP Server

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    TDQS

    A3.6/5.0

    Scored across 15 tools

    Disambiguation4/5

    Most tools have distinct purposes focused on different CSV operations like creation, reading, filtering, and updating. However, create_csv and create_csv_at_path have overlapping functionality that could cause confusion, as both create CSV files with only a minor path specification difference. The other tools are clearly differentiated by their specific actions on CSV data.

    Naming Consistency5/5

    All tools follow a consistent snake_case naming convention with clear verb_noun patterns. The naming is predictable throughout, using verbs like create, read, update, delete, filter, sort, and validate paired with appropriate nouns like csv, data, row, or statistics. There are no deviations in naming style across the toolset.

    Tool Count5/5

    With 15 tools, this server provides comprehensive coverage for CSV operations without being overwhelming. The count is well-suited for the domain, offering a complete set of operations including file management, data manipulation, analysis, and validation. Each tool serves a distinct purpose that contributes to the overall CSV processing capability.

    Completeness5/5

    The toolset provides complete coverage for CSV operations including full CRUD lifecycle (create, read, update, delete), data manipulation (filter, sort, group), analysis (statistics, validation), and file management (list, info, path info). There are no obvious gaps in functionality for working with CSV files, and the tools support both basic operations and advanced data processing workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues