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    Related Servers

    • Capability Gateway

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    • JustOneAPI MCP Server by justoneapi

      JustOneAPI MCP Serverofficial

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    • fde-assessment

      BalajiPillalamarri
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    • MCP-ToolHub

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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

    A3.8/5.0

    Scored across 81 tools

    Disambiguation3/5

    Most tools target distinct resource+action combos, but there are genuine overlaps: can_i_ship and get_eval_gate both serve as CI-gate verdicts on finished eval runs, and is_my_judge_trustworthy largely re-reads trust/TPR/TNR/drift data already present in get_criterion and list_criteria. Additionally, create_eval and screen_my_traffic both support 'is a cheaper model better' screening, though the descriptions try to disambiguate them.

    Naming Consistency4/5

    The dominant pattern is clean verb_noun snake_case (list_*, create_*, get_*, update_*, delete_*, cancel_*) applied consistently across 20+ resource domains. The exceptions are notable but few: the first-person sentence-style names can_i_ship, is_my_judge_trustworthy, and screen_my_traffic break the convention, and upsert_alias/auto_improve_criterion deviate slightly from standard CRUD verbs.

    Tool Count2/5

    81 tools is far beyond a typical MCP surface and will substantially bloat agent context and increase misselection risk, even though the underlying platform genuinely spans many domains (evals, fine-tuning, GRPO, dedicated endpoints, audit, labels, datasets). The breadth is real but the tool count is still excessive for an agent-facing interface, sitting at the extreme end of 'too many.'

    Completeness3/5

    Core lifecycles are thoroughly covered for most resources: criteria, evals, dedicated endpoints, batches, fine-tuning jobs, GRPO runs, model versions, and logs all have create/read/list/update/delete or cancel where appropriate. Notable gaps exist: datasets are create-only (no list/get/delete for created datasets), label sets cannot be deleted, training files cannot be removed, and labels have no delete operation—gaps that will matter for cleanup workflows in an audit-focused platform.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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