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SheetsData MCP

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

    A4.5/5.0

    Scored across 14 tools

    Disambiguation4/5

    The three search tools (search_parts, find_parts, search_datasheets) share the 'find parts' space, but the descriptions explicitly cross-reference each other and carve out distinct modes (part number/keyword vs parametric constraints vs semantic datasheet content), so misselection is unlikely. Lifecycle tools (prefetch_datasheets vs check_extraction_status vs read_datasheet) and the two-step upload pair are also clearly delineated. Only minor residual overlap between keyword search and functional search keeps it from a 5.

    Naming Consistency5/5

    Every tool follows a consistent snake_case verb_noun pattern (search_parts, get_part_details, read_datasheet, compare_parts, check_design_fit, analyze_image, find_alternative, request/confirm_datasheet_upload). No casing or verb-style deviations appear.

    Tool Count5/5

    14 tools sits squarely in the well-scoped range, and each maps to a distinct step in the component-research lifecycle (discover, extract, poll, read, compare, verify, source alternatives, upload). Nothing looks redundant or missing for the workflow size.

    Completeness4/5

    The surface covers discovery (three search modes), detail retrieval, datasheet reading and image analysis, comparison, design-fit checking, alternatives, BOM checking, the extraction lifecycle, and datasheet upload. Minor gaps exist (no explicit private-library listing/browsing or BOM export/order hand-off), but core CRUD/lifecycle operations for the domain are present.

    Maintenance

    ActivityMaintained
    ResponsivenessWithin a week

    Resources