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AI-to-CATIA MCP

AI-to-CATIA MCP

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    • A
      license
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      quality
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      maintenance
      Enables AI agents to drive CATIA V5 through COM for batch part, assembly, and drawing work, validating every step against tool schemas before touching CATIA and verifying results by volume change, 3D geometry references, and final poses. It ships a growing ledger of verified pitfalls that is surfaced alongside triggering errors and extended by agents, so later sessions avoid repeating the same failures.
      121
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables natural-language generation and editing of native CATIA V5 parts and assemblies through MCP tools, converting semantic requests into parametric CATPart/CATProduct models via the CATIA Automation API.
      MIT
    • A
      license
      C
      quality
      B
      maintenance
      Enables AI agents or local operators to inspect, plan, execute, and verify bounded KOMPAS-3D CAD operations, including sketch and feature editing, parametric parts, springs, transmissions, specifications, relinking, quality checks, and safe exports.
      118
      2
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to build and edit native CAD parts and assemblies, inspect saved geometry and measurements, retain revisions, run mechanism and interference checks, and export STEP/STL/GLB artifacts through MCP tools.
      MIT
    • F
      license
      B
      quality
      C
      maintenance
      Enables AI agents to drive SolidWorks for parametric modelling, aerospace part generation, sheet metal, weldments, assemblies, drawings, simulation, inspection, and file export. It provides approval-gated operations, verification tools, and journaling for safe, recoverable design automation.
      94
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to drive desktop CAD software through natural language with verified execution, failure recovery, and traceable results across modeling, assemblies, drawings, exports, motion, FEA, and related engineering workflows.
      MIT