"Creative and simple use cases for MCP with SSE URLs" matching MCP servers:

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.

Enforces consistent, governed asset selection for Claude by providing tools for search, retrieval, transformation, and governance of icons and brand assets.

An MCP server that turns Project PLATEAU's 3D city data into scene-editing and glTF export tools for creative LLM agents.

Enables AI agents to control Adobe After Effects and Photoshop locally via MCP, supporting cross-application workflows like editing PSD text and refreshing AE compositions.

Enables AI assistants to control Blender 3D modeling and rendering through natural language commands via the Model Context Protocol.

Enables live preview of Storybook components inside the IDE as the AI edits them, using MCP Apps integration.

Enables to create, iterate, and export 3D models through natural language conversations with an LLM by bundling OpenSCAD via WebAssembly for zero-setup 3D modeling.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

A Windows computer-control MCP server for the DeepSeek Harness plugin that lets an agent take screenshots, magnify the view for low-vision assistance, move and click the mouse, type and press keys, enumerate and focus windows, and switch input methods. It also bridges to Krita to drive drawing, pressure-curve, liquify, smudge, and brush operations.

Orchestrates app design workflows for Claude Code local execution, enabling creation, updating, and component addition without rate limits.

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.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

Enables AI assistants to inspect and organize Adobe Premiere Pro projects, edit timelines with frame-accurate cuts and trims, animate motion and opacity keyframes, and trigger exports through natural language.

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.

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.

A local, offline MCP server that enables AI agents to collaborate with SketchUp for controlled modeling, editing, and review tasks via 41 MCP tools.

Local MCP bridge that exposes the ChatGPT Figma connector to OpenCode without launching Codex, using the existing authenticated session.

Translates natural language commands into structured geometric operations for a simulated CAD engine using LLMs. It enables users to create shapes, modify dimensions, and perform 3D operations like extrusion through the Model Context Protocol.

Enables Claude to draw, verify, correct, and organize precise 2D architectural geometry directly in an open Vectorworks file, including exact arcs, measurements, classes, layers, and self-checking fixes.

An MCP server that enables AI assistants to programmatically create and manage use case diagrams (actors, use cases, subjects, relationships) in StarUML via a REST API.