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Tabelog MCP Server

by horse-3903
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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

    B3/5.0

    Scored across 12 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: restaurant detail vs reviews/menu/photos/vacancy, hierarchical area tools, and search/autocomplete. The only overlap is tabelog_get, which can reach any GET endpoint and could compete with dedicated tools, but it is explicitly framed as an escape hatch.

    Naming Consistency3/5

    The names use several conventions: verb_noun (search_restaurants, suggest_search), resource_noun (restaurant_reviews), noun_detail (restaurant_detail), area_level1/2, and bare nouns like stations. They remain readable, but the pattern is not predictable.

    Tool Count5/5

    12 tools is well-scoped for a restaurant discovery/detail server. Each tool maps to a meaningful step: location resolution, search/autocomplete, restaurant details, subresources, nearby popularity, and a generic read escape hatch.

    Completeness4/5

    The surface covers area hierarchy, stations, autocomplete, search, restaurant detail, reviews, menu, photos, vacancy, and nearby popularity. Minor gaps include an explicit genre taxonomy listing and reservation/booking actions, but the read-only escape hatch mitigates missing GET coverage.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources