"Executing code in a sandbox environment" matching MCP servers:

Injects the Code-Me brand identity, tone, and visual guidelines into LLMs with zero latency using built-in context files.

Maps design components, tokens, and patterns to their code implementations, providing AI coding agents with exact-match resolution across any design tool and framework. Enables agents to reliably discover and reuse existing components across React, Vue, Flutter, SwiftUI, and more.

Provides 8 MCP tools for frontend design: load design system, generate components, scaffold pages, review consistency, extract tokens, check WCAG 2.2 AA, test responsiveness, and export to Figma.

MCP server for ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.

Enables AI agents to design and critique websites using 2026 trend reports, motion code recipes, design principles, palettes, type systems, section skeletons, references, and DESIGN.md tokens, with performance and reduced-motion handling built in.

Generate professional AI-powered presentations from a topic, raw text, or document file. Export to PPTX, PDF, image, or shareable link.

Generates and transforms Expo assets (icons, splash, adaptive icons) from source images. Also includes image transformation and SVG conversion tools.

MCP server for Blender that connects to the official Blender Lab add-on, exposing 27 tools for scene manipulation, object editing, materials, rendering, and Python execution through the add-on's actual wire protocol.

Provides UI architecture analysis for converting Figma designs or web pages into reusable UI code blocks with effort estimation in CSV format.

Enables AI assistants to control a Blender instance through MCP tools, supporting scene creation, editing, and asset exchange via HTTP and background CLI processes.

MCP server that lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.

Enables AI agents to programmatically control a live Excalidraw canvas with element-level CRUD operations and real-time synchronization. It supports iterative diagramming through scene descriptions, screenshots, and advanced layout tools for collaborative AI-human workflows.

Enables AI hosts to interact with a browser CAD workbench through model-neutral local stdio or authenticated remote MCP tools, supporting command discovery, design-health analysis, and scoped previews while never reading local files or taking over open sessions.

Transform Figma designs into pixel-perfect React + Tailwind components using the Model Context Protocol.

Enables LLM clients to work with Vantage to inspect and modify scene state, open/save files, probe object properties, and run VScript payloads.

Enables AI coding agents to retrieve mode and stage guidance so they can lead users through a 9-stage design workflow, including questions, required artifacts, exit criteria, dependencies, pitfalls, rollback impact, and environment requirements. It helps non-designers turn ideas into buildable HTML/WPF design specs while keeping the human in control of confirmation and revisions.

Connects MCP clients to a local Blender + Bonsai (BlenderBIM) session for scene inspection, IFC project querying, viewport screenshots, and executing Python code in Blender.

An MCP server that lets AI assistants like Claude control Adobe Illustrator through natural language by executing ExtendScript code and providing document state inspection.

Enables running bpy Python code in an already-open Blender instance, with tools for health checks, scene info, and viewport screenshots.