"Information about sandbox environments or games" matching MCP servers:

Enables AI to create and publish interactive web apps, games, and 3D scenes using Rosh, a plain-English programming language. It supports compilation to HTML5 canvas, Phaser, or Three.js.

Enables controlling a local Blender instance through natural language or code, allowing arbitrary Python/bpy execution and querying scene or object information via MCP.

Exposes information about Z-Image AI image generation and editing platform, including styles, pricing, and official links, for MCP-compatible AI clients.

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.

A local MCP server that lets coding agents turn conversational prompts into deterministic, re-runnable recipes for 3D objects, walkable worlds, and playable games, all stored on your own disk without API keys or cloud rendering. Those recipes can be edited in place and exported to the browser, Godot, Unity, Unreal, Blender, glTF/OpenUSD, or print-ready STL and 3MF at true scale.

Enables importing Revit models, setting environments, rendering images, and exporting walkthrough videos via the Twinmotion rendering pipeline through APS.

It exposes five streamable-HTTP tools that add service and FAQ information, Figma or URL-to-DX component generation, session-based user identity lookup, and diagnostics to an existing DX IQ deployment.

Enables loading a web app build into a live sandbox, adjusting design tokens like colors, typography, and spacing with 1:1 visual verification, and exporting the changes as CSS, JSON, patches, or platform tokens.

Enables MCP-compatible AI clients to read and modify the user's currently open Figma file by executing JavaScript in Figma's sandbox, all through a local bridge with status monitoring, node jumping, and automatic rollback on errors.

Use Claude to control or ask questions about your Altium project.

Use Claude to control or ask questions about your Altium project.

MCP server providing AI assistants with comprehensive documentation about @deay/ui components, including props, examples, best practices, and Figma design specifications.

MCP server for creating and editing diagrams using draw.io. Allows generating diagrams from Mermaid or XML, searching shapes, and opening them in draw.io for export.

Search 161,000+ free hand-drawn Infyicon icons in four matching styles and fetch ready-to-embed SVG markup or PNG URLs, plus CSS class lookup for the 61,000-glyph Infyicon UI webfont. Free with attribution, no API key required.

Enables agents to measure a live page or Figma frame against a reference design, reporting exact numerical deviations in layout, spacing, typography, colors, states, and animations before any baseline exists.

AI-native design engineering platform that converts Figma or live websites into a semantic design graph for code generation, and generates Figma designs from prompts with a self-improving director loop.

An MCP server that enables AI assistants to search royalty-free stock photos using natural language, example images, or similarity, and render results as an inline thumbnail grid.

Transforms HTML into Figma designs using only the user’s design system, ensuring correct component usage or safe fallback to primitives, while continuously learning from each build to improve mapping accuracy and consistency.

Exposes surface-bound annotations placed on a Blender model to AI agents, letting them read pending change requests with stable IDs, revisions, positions and visibility, then submit completion summaries by marker ID after editing. This enables batch, review-oriented workflows where the user approves or rejects each agent change in Blender, without requiring object selection, screenshots, or a fixed port bridge.

Enables AI agents to convert a self-contained HTML design into an editable Adobe InDesign (.idml) file, preserving text frames with paragraph styles, native tables, and vector shapes. Accepts raw HTML, a local .html file, or a hosted URL, and returns the converted file along with required fonts and a geometry check.

Enables searching thousands of device and print mockups and rendering screenshots or uploaded images into them via the Mockuuups Studio API.

Bidirectional MCP bridge enabling AI assistants to draw UI on Figma canvas and read designs back as structured data or code tokens via localhost, requiring Figma Desktop.

Render branded PDF documents (invoices, reports, certificates) and PNG social images directly from any MCP client using DocJet templates or raw HTML with JSON data.

A visual designer pen for Claude Code that lets users click, drag, or draw on webpages to get source code locations and screenshots for direct editing and verification.

Enables coding agents to read ground truth about a React design system — components, props, cva variants, tokens and docs — over MCP so they write UI that matches it. It also exposes a check_ui linter agents run on their own output, returning rule ids, locations and concrete fixes before review.

Enables LLM agents to search, resolve and audit DTCG design tokens — finding the token behind an intent or a hard-coded color/size, checking naming grammar, auditing CSS for hard-coded or unknown tokens, arbitrating semver, and previewing token additions as JSON Patch diffs. Writes are gated behind explicit confirmation plus an opt-in flag, so every change arrives as a reviewable proposal rather than an edit.

Lets Claude Code, Cursor, VS Code and other AI agents draw and edit draw.io diagrams from your project's files, on a live browser canvas you can also edit by hand. Includes version history, undo, cloud shape libraries (AWS, Azure, GCP) and PNG or SVG export.

Art-directed website prompts delivered as slash commands in Claude Code, Claude Desktop and Cursor: hero sections, landing pages, SaaS, portfolio, e-commerce and 3D/WebGL scenes. Each build is registered as a real MCP prompt and written natively for the tool you are in (Lovable, Bolt, Cursor or Claude), with a live demo you can scroll before spending a token.

Enables LLMs to drive Blender through socket-based two-way communication, letting them create and modify 3D objects, apply materials, run Blender Python, and fetch or generate assets while visually verifying results. Supports prompt-assisted 3D modeling, scene creation, and manipulation.

Enables MCP hosts to render OpenUI artifacts (inline or sidecar) for agent-generated UI components such as cards, dashboards, forms, and charts, with validation, versioning, and security controls.