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SheetsData MCP

by octoco-ltd
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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4.6/5.0

    Scored across 12 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes and the descriptions explicitly state when to use one over another (e.g. search_parts vs search_datasheets, read_datasheet vs analyze_image, compare_parts vs get_part_details). The only mild overlap is within the 'component discovery' cluster (search_parts, get_part_details, compare_parts, find_alternative), but the guidance differentiates them well enough that misselection is unlikely.

    Naming Consistency5/5

    Every tool follows a clean verb_noun snake_case pattern (search_parts, read_datasheet, compare_parts, find_alternative, analyze_image, check_design_fit, prefetch_datasheets, request_datasheet_upload, confirm_datasheet_upload). No camelCase or stylistic mixing; the convention is fully predictable.

    Tool Count5/5

    12 tools is well within the ideal 3-15 range for a component-datasheet/part-data server. Each tool (search, read, compare, alternative, design-fit, image analysis, prefetch/status, two-step upload) occupies a distinct, non-redundant role.

    Completeness4/5

    The surface covers the core lifecycle well: discovery (search_parts/search_datasheets), drill-down (get_part_details), comparison (compare_parts), sourcing (find_alternative), validation (check_design_fit), datasheet reading/extraction, and an upload fallback path for missing datasheets. Minor gaps exist (no BOM-level assembly tool, no way to retrieve the raw PDF, no org-private-library management), but these are workable around via existing tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources