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Shopify Liquid MCP Server

by florinel-chis
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Python
Hybrid

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    TDQS

    A4/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no ambiguity: three 'get' tools retrieve specific documentation for filters, objects, and tags respectively; three 'list' tools enumerate all available items in those categories; and one 'search' tool performs full-text queries. The boundaries between tools are well-defined, preventing misselection.

    Naming Consistency5/5

    Tool names follow a highly consistent verb_noun pattern throughout: all start with 'get_', 'list_', or 'search_' followed by 'liquid_' and the specific resource type (filter, object, tag, docs). There are no deviations in style or convention, making the set predictable and readable.

    Tool Count5/5

    With 7 tools, the count is well-scoped for the server's purpose of providing Shopify Liquid documentation. It covers key operations (retrieve specific items, list all items, search) across the main documentation categories (filters, objects, tags), with each tool earning its place without redundancy or bloat.

    Completeness5/5

    The tool surface is complete for the domain of Shopify Liquid documentation lookup. It offers full CRUD-like coverage: 'list' tools for discovery, 'get' tools for detailed retrieval, and a 'search' tool for flexible queries. There are no obvious gaps or dead ends, enabling agents to handle all typical documentation needs effectively.

    Maintenance

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    ResponsivenessNo issues

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