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ifcmcp is a new Model Context Protocol server that wraps ifcquery and ifcedit, holding an IFC model in memory across tool calls. It is the preferred way to interact with IFC models from AI assistants and MCP-compatible clients. Setup: claude mcp add --transport stdio ifc -- python3 -m ifcmcp Session tools: ifc_load, ifc_save Query tools: ifc_summary, ifc_tree, ifc_info, ifc_select, ifc_relations, ifc_clash, ifc_validate, ifc_schedule, ifc_cost, ifc_schema, ifc_contexts, ifc_materials, ifc_plot, ifc_render, ifc_shape, ifc_shape_list, ifc_shape_docs Edit discovery: ifc_list, ifc_docs Edit execution: ifc_edit, ifc_quantify The model stays in memory between calls - ifc_edit does not auto-save; call ifc_save explicitly when done. Depends on both ifcquery and ifcedit Generated with the assistance of an AI coding tool.