适配器上下文和策略辅助工具
此 API 为 DCC 适配器提供共享契约,用于简洁指令、工具后快照、可视反馈、响应整形、工具集配置文件和可搜索的 API 文档。
指令资源
python
from dcc_mcp_core import AdapterInstructionSet, register_adapter_instruction_resources
register_adapter_instruction_resources(
server,
AdapterInstructionSet(
dcc="maya",
instructions="Use screenshots after visual scene changes.",
capabilities={"screenshots": True, "in_process_execution": True},
troubleshooting="If execution stalls, check for modal dialogs.",
adapter_version="0.3.0",
),
)这将注册:
docs://adapter/<dcc>/instructionsdocs://adapter/<dcc>/capabilitiesdocs://adapter/<dcc>/troubleshooting(提供时)
DccServerBase.register_adapter_instructions(...) 是嵌入式适配器的薄包装器。
上下文快照
适配器可以在变异工具后附加一个小的、有界的场景/文档快照:
python
from dcc_mcp_core import DccContextSnapshot, append_context_snapshot
result = append_context_snapshot(
{"success": True, "message": "Layer created"},
DccContextSnapshot(
dcc="photoshop",
document={"name": "hero.psd"},
active_layer={"name": "Glow"},
counts={"layers": 12},
),
)DccServerBase.set_context_snapshot_provider(callable) 存储提供者,DccServerBase.append_context_snapshot(result) 应用它。
响应整形
ResponseShapePolicy 截断大型列表、字典和字符串,并添加带有省略计数和 next_query 提示的 _meta["dcc.response_shape"]。
python
from dcc_mcp_core import ResponseShapePolicy, shape_response
payload = shape_response(scene_graph, ResponseShapePolicy(max_items=200, max_bytes=256_000))可视反馈
VisualFeedbackPolicy 标准化资源支持的预览:
python
from dcc_mcp_core import VisualFeedbackPolicy, build_visual_feedback_context
context = build_visual_feedback_context(
resource="output://viewport.png",
width=1280,
height=720,
policy=VisualFeedbackPolicy(mode="after_mutation", max_size=800),
)工具集配置文件
DccToolsetProfile 和 ToolsetProfileRegistry 在技能组之上提供高级层,用于适配器模式,如 modeling-basic、rendering 或 photoshop-layer-editing。