Houdini MCP
未认领Houdini MCP Server - Control SideFX Houdini via Model Context Protocol using hrpyc
安装
pip install -r requirements.txt更多AI & ML服务器
浏览完整目录安全概况
已认领和已认证的服务器每周接受一次静态扫描，显示代码能触及的范围（外部服务、环境变量、shell 命令、代理配置目录）以及带有已知公告的依赖。认领此列表即可获得。 安全概况的工作原理
40 个工具中显示 40 个
文档中列出的工具 (40)
内容来自项目文档。服务器握手不会验证每个工具的说明或行为。
assign_material
Assign material to geometry
capture_multiple_panes
Batch capture multiple panes
capture_pane_screenshot
Capture any Houdini pane as PNG
connect_nodes
Wire nodes together
create_material
Create a new material
create_network_box
Create network box around nodes
create_node
Create a new node
create_render_node
Create new ROP with settings
delete_node
Delete a node by path
disconnect_node_input
Break a connection
execute_code
Execute Python with hou available
execute_hscript
Execute HScript commands
find_error_nodes
Find all nodes with cook errors
find_nodes
Find nodes by name pattern or type
get_geo_summary
Get geometry statistics and metadata
get_houdini_help
Get help for node types
get_material_info
Get material parameters and shaders
get_node_info
Get node details, parameters, connections, errors
get_parameter_schema
Get parameter metadata (types, ranges, menus)
get_render_settings
Get ROP configuration
get_scene_info
Get current scene info (file, version, nodes)
layout_children
Auto-layout child nodes
list_children
List child nodes with connection details
list_node_types
List available node types by category
list_render_nodes
List all ROPs in /out
list_visible_panes
List capturable panes
load_scene
Load a .hip file
new_scene
Create empty scene
render_node_network
Navigate to node and capture network
render_quad_view
Render Front/Left/Top/Perspective views
render_viewport
Render viewport with camera control
reorder_inputs
Reorder node inputs
save_scene
Save current scene
serialize_scene
Serialize scene structure for diffs
set_node_color
Set node color
set_node_flags
Set display/render/bypass flags
set_node_position
Set node position in network
set_parameter
Set a parameter value
set_render_settings
Modify ROP settings
summarize_response
AI-summarize large responses