Skip to main content
Glama

Related Servers

Alternatives to Project Tango

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      C
      maintenance
      A prototype that exposes customer and order data to LLMs via the Model Context Protocol, enabling natural-language queries and multi-step tool calling.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      A Model Context Protocol server that enables AI assistants to interact with Saleor e-commerce data including products, orders, customers, and more.
      3
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      A Model Context Protocol server that provides real-time access to MongoDB product data, enabling sophisticated e-commerce queries with price range filters, category searching, and product recommendations through a conversational interface.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      A Model Context Protocol server that connects AI agents to the Shopify Admin GraphQL API, enabling management of products, orders, customers, and more through natural language.
      1,674 npm
      6
      MIT

    TDQS

    A4.1/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: aggregate analytics (analyze_sales_metrics) vs. per-order drill-down (find_orders), inventory alerting (get_low_stock_alerts) vs. restock recommendation (smart_restock_predictor), plus catalog browse, copy generation, order simulation, and demo reset. The descriptions explicitly cross-reference each other to delineate boundaries, leaving little room for misselection.

    Naming Consistency4/5

    Most names follow a verb_noun pattern (analyze_sales_metrics, list_all_products, find_orders, reset_demo_state, simulate_order_placement, draft_product_copy). Two deviate mildly: 'get_low_stock_alerts' inserts an adjective and 'smart_restock_predictor' uses an adjective_noun form with no verb. Still readable and largely predictable.

    Tool Count5/5

    Eight tools is well within the sweet spot and each earns its place across the read/write lifecycle. No redundant or filler tools; the set is tightly scoped to a simulated commerce domain.

    Completeness4/5

    The surface covers catalog browse, order placement/lookup, analytics, inventory alerts, restock planning, copy generation, and state reset—core workflows are all present. Minor gaps exist around product CRUD (no create/update/delete of catalog items) and order mutation, though the demo/simulated framing makes these reasonable omissions.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues