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@striderlabs/mcp-yelp

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    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

    A3.5/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of Yelp data: deals, hours, menu, reviews, trending, and general search. There is no overlap in purpose, so an agent can clearly distinguish them.

    Naming Consistency4/5

    All tools start with 'yelp_' and use a verb_noun pattern, but 'search_businesses' uses 'search' instead of 'get', which is a minor deviation. Overall, the naming is predictable and readable.

    Tool Count5/5

    With 6 tools, the set is well-scoped for a Yelp MCP server. It covers core read operations without unnecessary bloat, fitting the typical use cases for a Yelp integration.

    Completeness4/5

    The tools cover search, reviews, hours, menu, deals, and trending, which are key read operations. A minor gap is the lack of a dedicated business detail tool, but search likely covers basic info. Write operations are not expected.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources