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Djinni MCP

Djinni MCP

by Kiri7z
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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

    A3.9/5.0

    Scored across 8 tools

    Disambiguation4/5

    Each tool maps to a distinct resource/action: search, read job, workflow docs, profile read/write, history read, exclusion toggle, and saved-search write. The only mild overlap is between get_workflow/get_profile/get_history, all of which are read-at-start tools, but the descriptions clarify when each applies. An agent might briefly hesitate on whether to call get_profile or get_history first, but boundaries are largely clear.

    Naming Consistency5/5

    Every tool follows a consistent verb_noun pattern (search_jobs, get_job, get_workflow, get_profile, update_profile, get_history, set_job_excluded, save_search). No mixed casing or verb styles. Read/write intent is also obvious from verb choice (get vs update/set/save).

    Tool Count5/5

    Eight tools is well-scoped for a job-search assistant: search, inspect, profile, history, exclusions, and saving. No tool seems redundant, and there is no missing obvious chunk that would demand more surface. The count keeps the agent's choice space manageable.

    Completeness4/5

    The surface covers discovery (search_jobs), detail (get_job), user context (get_profile/update_profile), memory (get_history), suppression (set_job_excluded), and output (save_search), plus onboarding (get_workflow). A minor gap is that there is no explicit way to clear or list saved searches/history batches beyond reading history, and no batch/exclusion list retrieval. Core workflows are nonetheless complete for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources