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  • A
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    Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.
    25
    2
    MIT
  • A
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    quality
    C
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    Connects MCP-aware AI clients to a live SketchUp session so users can create and modify 3D models, apply materials, perform booleans and joinery, and export scenes through natural-language prompts.
    22
    MIT
  • A
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    quality
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    MCP server that exposes the @bunge/ds-components design system catalog, allowing AI assistants to list, search, and retrieve component details including inputs, outputs, usage examples, and import instructions.
    4
    MIT
  • A
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    quality
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    Enables Codex to inspect a native After Effects project, make scoped edits, and render frames for review through a local macOS bridge. It exposes MCP tools that drive a named After Effects worker without requiring an in-app panel or separate chat client.
    16
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    MIT
  • A
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    Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.
    31
    MIT
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    Enables AI agents to retrieve and compare current brand data, inspect colors and fonts, enrich transaction descriptors, and access approved private assets using fourteen shared tools across isolated named profiles.
    14
    444 npm
    AGPL 3.0
  • A
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    Enables controlling CLO3D from any MCP client to inspect projects, create and edit patterns, manage fabrics and colorways, run simulations, and export models through chat.
    104
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    MIT
  • F
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    Natural-language MCP bridge for AutoCAD 2024. Enables users to inspect and edit DWG drawings, manage layers, entities, layouts, styles, and system variables; draw 2D geometry and 3D solids; perform measurements and transactional edits; and export to DWG, STL, PDF, DWF, SVG, or raster formats through a local named-pipe connection.
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  • A
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    Enables MCP clients to interact with a live local Mastercam session through a secure Windows named pipe, with a read-only default profile and guarded write operations for safe CAD/CAM workflows.
    59
    209 npm
    2
    Apache 2.0
  • A
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    Enables AI assistants to directly control and interact with the Unreal Editor through natural language, allowing tasks such as spawning actors, building levels, creating materials, and running Python scripts.
    3
    MIT
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    Lets any MCP-compatible AI assistant read and edit Autodesk Civil 3D drawings through tools for alignments, surfaces, corridors, pipe networks, quantity takeoff, and cut/fill, using a local bridge plugin and named pipes.
    MIT
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    Provides color conversion between formats, WCAG contrast ratio computation, and nearest CSS named color lookup.
    209 npm
    MIT
  • A
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    B
    maintenance
    Enables AI coding agents to read and write a user's Figma file through the Figma Plugin API, offline and privately, without API tokens or rate limits.
    40 npm
    MIT
  • A
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    quality
    A
    maintenance
    A local, offline MCP server that enables AI agents to collaborate with SketchUp for controlled modeling, editing, and review tasks via 41 MCP tools.
    5
    Apache 2.0
  • A
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    D
    maintenance
    Enables AI assistants to search and download SVG icons from iconfont.cn, with support for style filtering and automatic login.
    MIT
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    Enables MCP clients to inspect FreeCAD documents and export named solids to STL, find and derive OrcaSlicer presets, preview and run slices with recorded manifests, and then read G-code metadata, query a Moonraker printer, upload G-code, and start an uploaded print as a separate confirmed step.
    MIT
  • F
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    Connects MCP-compatible AI assistants to Azgaar's Fantasy Map Generator so they can view, inspect, edit, and export fantasy maps in a live local browser, including borders, states, terrain, layers, and files. It runs locally and offline after installation, supports collaborative manual editing, undo, autosave, and text-only map output for models that cannot see images.
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