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Rolli MCP

by rolliinc
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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

    A3.6/5.0

    Scored across 30 tools

    Disambiguation4/5

    The toolset is clearly organized by resource family—keyword searches, user searches, expert searches, agent runs, schedules, and integration settings—and each tool's description identifies its target resource and action. The only mild ambiguity is between get_agent_schedule, which includes recent execution records, and list_agent_schedule_runs, which also exposes execution history.

    Naming Consistency4/5

    Most tools follow a predictable list_/get_/update_/delete_ verb_noun pattern, and agent run/schedule tools use clear verbs like start, cancel, rerun, pause, and resume. The main deviation is that the three search creation tools are named bare resources (keyword_search, user_search, expert_search) instead of using a consistent create_ prefix.

    Tool Count2/5

    At 30 tools, this exceeds the 25+ threshold and makes the surface feel heavy for an agent to navigate, even though the tools are internally organized. The broad scope—three search types, agent runs, schedules, integration, and usage—explains the count, but it is still more than is typically reasonable for a single MCP server.

    Completeness4/5

    Core workflows are well covered: each search type has create, get, list, and raw-post retrieval; agent runs have a full lifecycle; schedules support CRUD plus pause/resume; and integration/usage endpoints are present. Minor gaps include no way to delete or cancel searches and no webhook test endpoint, but these are workable limitations rather than blocking dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources