"Material Design" matching MCP servers:

Provides AI-powered tools to apply UX/UI best practices, Nielsen's heuristics, cognitive biases, and Material-UI patterns to React components. Enables automated application of responsive design, Apple design patterns, and complete UX guidelines through natural language commands.

Enables agents to reconcile piping material take-offs against Plant 3D SCSA exports by previewing diffs and applying quantity corrections, insertions, and gated removals with dry-run and explicit confirmation flags.

A local MCP server that enables AI apps to control KeyShot Studio for scene inspection, rendering, model import, material application, camera adjustment, environment setting, and scene saving.

MCP server for Science Tokyo LMS, enabling course material download, assignment deadline checks, and more via tools like list_courses and get_upcoming_deadlines.

Enables Godot 4 game development automation through tools for project management, scene editing, animation, cinematics, and shader/material pipelines.

Connects Claude AI to Blender through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, material control, and object manipulation. Supports integration with Poly Haven assets and Hyper3D for AI-generated models.

Connects Claude AI to Blender through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, material control, and direct Python code execution in Blender. Includes integration with Poly Haven assets and Hyper3D model generation.

Connects Blender to Claude AI through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, object manipulation, and material control. Supports asset integration from Poly Haven and AI-generated 3D models through Hyper3D Rodin.

Connects Claude AI to Blender through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, object manipulation, material control, and integration with Poly Haven assets and Hyper3D model generation.

Bridges AI language models with Penpot design platform, enabling AI assistants to analyze, search, and interact with design files programmatically for automated design workflows.

Enables MCP-capable AI clients to connect to local ANSYS Mechanical and Workbench for read-only inspection and bounded model, material, load, mesh, solve, result, and save operations via PyMechanical/gRPC.

An MCP server that fetches and extracts Claude Design handoff bundles from URLs, enabling users to deploy design files directly into their projects with a single tool call.

Enables agents to create and reconstruct editable PowerPoint presentations from source material, managing project resources and slide construction through natural language.

Connects Claude AI to Blender through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, object manipulation, and material control. Supports downloading assets from Poly Haven and generating 3D models through Hyper3D Rodin.

Enables AI assistants to control Autodesk Maya through natural language for scene creation, modeling, material assignment, and object manipulation.

Enables AI assistants like Cursor to interact with Figma designs programmatically. Supports reading design information, modifying elements, creating components, managing text content, and automating design workflows through natural language commands.

Enables programmatic design creation and manipulation on the Canvelete platform through AI assistants. Supports design management, canvas element manipulation, template application, asset management, and real-time synchronization with the design editor.

An automated MCP server for Google Stitch that enables AI-driven UI design generation, accessibility audits, and design system management. It streamlines workflows for creating responsive screens, extracting design tokens, and maintaining visual consistency across professional web projects.

Enables AI agents to build, measure, verify, and correct parametric SolidWorks parts and assemblies locally via the COM API, supporting operations like sketching, extruding, modeling, dimensioning, material assignment, export, and assembly mating.

BlenderMCP connects Blender to AI agents via the Model Context Protocol, enabling direct 3D object manipulation, material application, asset downloads, and Python code execution with secure token-authenticated local communication.