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HoudiniMCP

by JTCHE
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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

    A4.5/5.0

    Scored across 20 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, and descriptions explicitly cross-reference alternatives (e.g., cook vs pdg vs render, node_inspect vs scene_overview vs geometry_inspect). Minor overlaps remain: scene_overview lights and stage_inspect lights both read USD stage lights, geometry_inspect image and node_inspect image both inspect COP nodes, and selection/cache data can be obtained from multiple tools. These are edge cases, but they keep the set from being perfectly unambiguous.

    Naming Consistency4/5

    All names use lowercase snake_case or single lowercase tokens, with no camelCase or case-style mixing. The pattern is not strictly verb_noun: there are single verbs (capture, connect, select, cook, render, execute), single nouns (batch, console, docs, hda, pdg, playbar, session), and noun_verb compounds (node_edit, node_inspect, parm_set). Still readable and mostly predictable, with only minor deviations.

    Tool Count4/5

    20 tools is above the typical 3-15 sweet spot and lands in the heavier 16-25 range, so it is mildly over rather than perfectly scoped. However, each tool maps to a distinct Houdini subsystem, and many operations are consolidated into mode-based tools, avoiding an even larger surface. The count is reasonable given Houdini's breadth.

    Completeness5/5

    The surface covers session management, scene files, inspection, node editing, parameter writing, wiring, cooking, simulation, PDG, USD, rendering, capture, HDA editing, docs, execution, undo, and more. No obvious lifecycle gap remains for the stated domain; agents have both high-level and low-level escape hatches where needed.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources