etabs-mcp
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- AlicenseAqualityBmaintenanceConnects an AI agent to an open CSI ETABS model through the official COM API, enabling natural-language requests for model queries, analysis, design checks, and report extraction while the agent searches API methods and runs sandboxed Python against the live model.9MIT
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TDQS
Scored across 40 tools
Each tool targets a distinct entity or action: list vs create vs define vs assign vs analyze vs query. Even closely related tools like load_patterns, add_load_pattern, and load_combinations are clearly separated by their purpose.
All tools share the etabs_ prefix, but the action style is mixed: noun-only names for queries (etabs_stories, etabs_points), verb+noun for actions (etabs_set_units, etabs_add_frame), and inconsistent creation verbs such as new_model, add_load_pattern, and define_rectangular_section.
With 40 tools, the surface is far larger than the typical well-scoped 3–15 tool set. While ETABS is a complex domain, this many tools risks overwhelming agents and indicates the server is trying to cover too many operations.
The set covers a broad workflow: model creation, geometry, property definitions, load patterns/combinations, assignments, analysis, and results. However, critical gaps remain: there is no explicit tool to assign defined sections/materials to frame or area elements, and no update/delete operations for created objects.