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    Python MCP server for SolidWorks automation with 109 tools covering the full CAD lifecycle. Enables AI-assisted design workflows through COM automation on Windows.
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    MIT
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    Enables Claude or any MCP client to drive a live SOLIDWORKS session through its COM API, modeling parts, building assemblies with mates, checking interferences and machining feasibility, and exporting STEP or DXF files. It also exposes a local semantic index of the SOLIDWORKS API so the model can look up signatures, enums, and official examples before running arbitrary Python against the session.
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    MIT
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    Enables AI clients to search a library of 2,800+ science illustrations, fetch SVG content and metadata, and download icons locally, with category/license filtering and attribution information.
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    MIT
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    Enables AI-driven 3D modeling in Blender by providing tools to create primitives, apply modifiers and materials, set up lighting and cameras, capture viewport snapshots, export assets, inspect scenes, and execute Python commands via natural language.
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    MIT
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    Lets Claude work inside an open Vectorworks drawing on macOS, reading and bulk-editing Spotlight lighting devices, checking positions, and exporting channel hookup paperwork. It can also run arbitrary Vectorworks Python, with validated all-or-nothing edits and a tool that undoes exactly the last change.
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    MIT
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    Enables Claude AI to extract design information from Figma files and create or update designs via a Figma plugin, supporting both readonly and write modes.
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    ISC
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    Enables AI assistants to control FreeCAD 3D modeling software, allowing creation and manipulation of 3D objects, execution of Python code, and interaction with FreeCAD's parts library through natural language.
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    MIT
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    Enables users to control FreeCAD through natural language for creating, editing, and managing 3D objects and documents. It supports executing Python code, capturing screenshots of the workspace, and importing parts from the FreeCAD library.
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    MIT
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    Enables AI agents to connect to Autodesk Revit and run Revit API Python, inspect models, capture screenshots, request user element selections or annotated snips, and manage multi-instance connections through MCP.
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    MIT
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    Connects MCP-compatible AI agents to a local 3D garment design application through its Python API, enabling scene inspection, pattern and sewing operations, fabric/material management, simulation, mesh measurement, checkpoints, import/export, documentation search, and raw Python execution.
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    MIT
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    Enables natural language interaction with Unreal Engine, providing 127 tools across 16 subsystems for tasks like actor manipulation, asset management, blueprint creation, and more, using built-in Python and Remote Control plugins.
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    MIT
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    Enables AI assistants to create, edit, and export IFC5/IFCX building information models through natural language, handling spatial structure, elements, geometry, metadata, validation, and export.
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    3 npm
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    Apache 2.0