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Partle

Partle

by rubenayla
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.2/5.0

Scored across 18 tools

Disambiguation4/5

Most tools have distinct purposes, especially between inventory and product management. However, add_inventory_item and update_inventory_item could be confused at first glance, though descriptions clarify. The mark_for_sale and mark_sold wrappers add convenience without significant ambiguity.

Naming Consistency4/5

Naming follows a consistent verb_noun snake_case pattern (e.g., create_product, delete_inventory_item). Minor inconsistency: mark_for_sale vs. mark_sold (different verb forms) and get_my_inventory vs. get_my_products, but these are clear and predictable.

Tool Count4/5

18 tools cover inventory, product, store, search, and feedback—a broad but coherent scope. While the number is slightly high, each tool serves a distinct need, and there are no redundant ones.

Completeness4/5

The tool set covers full CRUD for inventory and products, plus search, stats, and feedback. Missing features like image reordering or store creation are reasonable omissions given the platform's focus. No critical gaps for core workflows.

Maintenance

ActivityStale
ResponsivenessNo recent community issues

Resources