Skip to main content
Glama
HaswanthKurevella

Coffee Shop MCP

by HaswanthKurevella
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to Coffee Shop MCP

No user-submitted related servers found.

    Related Servers

    • meticulous-mcp

      NatiCha
      A
      license
      A
      quality
      D
      maintenance
      MCP server for controlling Meticulous espresso machines via Claude and other AI clients.
      22
      109 npm
      MIT

    • cafe-mcp-server

      hanluOMH
      F
      license
      A
      quality
      B
      maintenance
      MCP server that recommends coffee based on preferences (mood, milk, caffeine, temperature) from a static menu; includes tools for listing menu, recommending, and explaining recommendations.
      3
      -

    • cafe-shop-mcp-agent

      rizhwan05
      F
      license
      Not graded
      quality
      C
      maintenance
      Enables natural language interaction with a coffee shop's inventory and order system, allowing users to check menu items, place orders, and track order status via MCP tools.
      -
    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

    A4.5/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of the coffee ordering workflow: menu, customization, placing, status, step updates, readiness, and health check. There is no overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with underscores (e.g., get_menu, place_order). 'ping' is a standard exception for health checks and does not disrupt the pattern.

    Tool Count5/5

    With 7 tools, the set is well-scoped for a coffee shop ordering system. Each tool serves a clear need without redundancy or missing critical functionality.

    Completeness4/5

    The tool set covers the full order lifecycle: menu browsing, customization, placing, status tracking, step updates, and marking ready. Minor gaps like cancellation or order listing are absent but not essential for the core workflow.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources