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Weekly data on 600k+ Shopify stores: launches, best sellers, prices, apps and similar stores.

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Status
Unhealthy
Uptime
36.1% over 21 days
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP
URL
ChatGPT
–
Claude
–

TDQS

A3.7/5.0

Scored across 4 tools

Disambiguation4/5

Each tool targets a distinct angle: find_stores is a filtered list, lookup_store is a single-store profile, technology_usage is cross-store aggregate stats, and weekly_changes is a temporal diff. There is minor overlap since find_stores and weekly_changes both accept category/country filters, but their purposes are clearly separable.

Naming Consistency4/5

All four names use consistent snake_case, which is good. However the convention is mixed stylistically: find_stores and lookup_store are verb_noun actions while technology_usage and weekly_changes are noun phrases, so the pattern isn't fully uniform.

Tool Count4/5

Four tools is appropriately lean for a read-only store-intelligence index, with each tool covering a distinct query mode. It sits at the lower end but does not feel arbitrarily thin given the focused domain.

Completeness4/5

The surface covers the core analytics workflows: store discovery, store detail, technology adoption stats, and change tracking. Minor gaps exist (e.g. explicit store-to-store comparison or historical trend queries), but agents can largely work around these.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 4 tool updates
    • First observedfind_stores
    • First observedlookup_store
    • First observedtechnology_usage
    • First observedweekly_changes

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