A
licenseNot graded
qualityB
maintenanceEnables AI agents and coding assistants to access live Steam market intelligence, including app search, store details, player-count trends, review mining, and news digests.
20 npm
1
MIT
wishlistdoc-mcp
by xiongxingzhe
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TDQS
A3.9/5.0
Scored across 3 tools
Disambiguation5/5
Each tool targets a distinct domain: store page audit, sales forecasting, and genre benchmarks. There is no overlap in purpose or output.
Naming Consistency4/5
All tool names use a consistent verb_noun pattern (audit_steam_store, predict_sales_cone, get_genre_benchmarks). Minor deviation: 'sales_cone' is a domain-specific term while the others are generic, but the pattern is consistent.
Tool Count4/5
Three tools is on the lower end but appropriate for a focused niche server covering audit, prediction, and benchmarks. It feels slightly thin but each tool is substantial and distinct.
Completeness3/5
The server covers core wishlist/sales analysis workflows, but lacks obvious related operations like fetching wishlist counts, comparing games, or updating/refreshing audits. Agents can work around gaps but the surface is minimal.
Maintenance
ActivityMaintained
ResponsivenessNo issues