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visualizer-mcp

by htminuslab
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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

    A3.6/5.0

    Scored across 12 tools

    Disambiguation4/5

    Most tools have clear distinct purposes (connect, examine, run, step, etc.), but vcc_status and vcc_connect overlap in reporting connection status, and vcc_eval is an escape hatch that could replicate other tools. Minor ambiguity.

    Naming Consistency3/5

    All tools share the vcc_ prefix, but the second part mixes verb_noun (connect, examine, run), noun_verb (wave_add), adjective_noun (recent_signals), and lone noun (status). Inconsistent structure.

    Tool Count5/5

    12 tools cover essential simulation control, signal inspection, wave management, and connection setup. Well-scoped for a visualizer MCP server.

    Completeness4/5

    Core functions are covered, but some operations (e.g., removing waves, setting radix per signal) are missing and must be done via vcc_eval. Minor gaps that can be worked around.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources