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Luckycat133

TRAECNclaw MCP

by Luckycat133
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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A4.4/5.0

    Scored across 20 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action (e.g., cancel_task vs stop_generation are clearly separated by scope: gateway task vs visible generation). No two tools overlap in purpose, and descriptions reinforce unique use cases.

    Naming Consistency5/5

    All tools follow a strict `traecn_` prefix with a consistent verb_noun pattern (get_task, list_models, select_mode, set_setting_toggle, create_conversation). No mixed conventions or vague verbs.

    Tool Count5/5

    20 tools cover a broad but well-defined domain: task lifecycle, workspace/model/mode control, settings management, conversation CRUD, and exceptional interaction handling. Each tool earns its place, and the count is appropriate for the server's comprehensive scope.

    Completeness5/5

    The surface covers the full lifecycle: task submission, retrieval, cancel, and emergency stop; complete CRUD for conversations; full discovery and mutation for settings; model/mode selection; and exceptional handling (questions, approvals). No obvious gaps that would leave agents dead-ended.

    Maintenance

    ActivityMaintained
    ResponsivenessSlow

    Resources