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profilarr-mcp

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by arr-mcps
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Python
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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

    A3.9/5.0

    Scored across 20 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: announcements (list/get), databases (CRUD+sync), backups (full lifecycle), jobs (status), health/status, arr instances (list), and settings. No two tools overlap in purpose; even status vs health are clearly separated as system overview vs health check.

    Naming Consistency4/5

    The dominant pattern is profilarr_verb_noun (get_, list_, create_, update_, delete_, sync_, download_, upload_). However, profilarr_health and profilarr_status are noun-only, and get_openapi_spec is slightly inconsistent with list vs get. Minor deviations, but overall predictable and readable.

    Tool Count4/5

    20 tools is on the heavier side but justified by the breadth of the domain: databases, backups, announcements, arr instances, jobs, health, and settings. Each tool serves a distinct function, so the count feels appropriate rather than bloated.

    Completeness4/5

    Core workflows are well covered: full CRUD for database links and backups, plus settings and status. Minor gaps exist (e.g., no arr instance add/remove/sync, no announcement management), but these are likely outside the server's primary scope. The surface is coherent for most user journeys.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources