Skip to main content
Glama
compass-food

Compass DaaS

Official
by compass-food

Related Servers

Alternatives to Compass DaaS

No user-submitted related servers found.

    Related Servers

    • A
      license
      B
      quality
      F
      maintenance
      MCP Compass is a discovery and recommendation service that assists AI assistants in finding and understanding Model Context Protocol servers through natural language queries.
      1
      70 npm
      243
      MIT
    • F
      license
      Not graded
      quality
      Not graded
      maintenance
      An AI-native restaurant discovery service that enables searching and receiving natural language recommendations for over 2,200 restaurants across 15+ US cities. It provides tools for accessing detailed restaurant info, curated lists, and cuisine-specific searches through the Model Context Protocol.
      -
    • F
      license
      A
      quality
      D
      maintenance
      An MCP server for restaurant discovery and booking across Resy and OpenTable via natural language. It integrates Google Places data with dietary preferences, visit history, and weather awareness to provide personalized dining recommendations and group reservation management.
      23
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for AI-native restaurant discovery with three-tier search (verified, menu_indexed, discovered), Menu Protocol menus, and structured menu validation.
      1 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Personalized restaurant recommendations, table bookings, and delivery via MCP, CLI, or API, learning user taste and acting proactively.
      MIT

    TDQS

    A4.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a distinct purpose: decide_fit makes a dietary fit determination, enrich_restaurant returns enrichment data for a specific restaurant, and search allows natural-language queries. There is no overlap or ambiguity.

    Naming Consistency5/5

    All tools follow the consistent pattern 'compass_verb_noun' (decide_fit, enrich_restaurant, search). The naming is predictable and uniform.

    Tool Count5/5

    With only 3 tools, the set is appropriately scoped for the narrow domain of restaurant dietary matching. Each tool is essential and there is no bloat.

    Completeness5/5

    The tools cover search, enrichment, and fit decision, which are the core operations for the domain. No obvious gaps exist given the stated purpose of providing dietary data service.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues