"Enhancing Prompt Engineering with MCP" matching MCP servers:

Enables AI agents to generate, view, and analyze engineering diagrams (RF, PCB, EMC) in draw.io using natural language prompts, with auto-layout and 269 engineering stencils.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

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

Enables management of structured prompt assets from Figma, including listing, validating, and exporting prompts via the Model Context Protocol.

MCP server that lets AI assistants control Adobe After Effects via natural language, enabling composition and layer creation, animation, effects, presets, rendering, and arbitrary ExtendScript execution with Arabic/RTL support.

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.

Enables high-craft web design and engineering through OKLCH color systems, fluid typography, Three.js 3D scenes, frontend security audits, multi-viewport capture, and Python-backed design verification.

Connects SketchUp to Claude AI through the Model Context Protocol, enabling prompt-assisted 3D modeling, scene manipulation, and woodworking joinery operations.

Enables connecting Blender 3D to AI assistants via MCP, allowing prompt-driven 3D modeling, scene editing, and real-time manipulation. Supports object/material control, scene inspection, viewport screenshots, and integrations with Poly Haven, Sketchfab, and AI model generators.

Enables MCP-capable agents to browse a public design-system catalog, retrieve design continuation bundles and sequential prompt packs, import externally designed artifacts, and resume mid-flow external design runs.

Turns AI coding agents into visual creative assistants by providing a curated prompt gallery, prompt enhancement, and image/video generation via LemGen, with free inspiration tools and optional token-based generation.

Enables AI agents to create, inspect, render, and export 2D engineering drawings through DXF files, including entities, dimensions, hatches, splines, blocks, layers, PNG previews, and vector PDFs without needing a CAD GUI.

Enables an MCP client to query a token-driven SCSS design system out of the box, with no manual SDK or zod install step, exposing 30 tools covering themes, mixins, functions, tokens, animations, components, recipes, doc readers, size resolution, and prompt assembly. It resolves that data directly from the installed css-is-awesome package, so answers always match the version the user actually has.

Orchestrates full-stack frontend engineering—from intent discovery and design genome generation to automated multi-viewport QA—through JSON-RPC tools for AI agents.

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.

Connects Blender to Claude AI through the Model Context Protocol, enabling prompt-assisted 3D modeling, scene creation, and manipulation.

Connects Blender to Claude AI through the Model Context Protocol, enabling prompt-assisted 3D modeling, scene creation, and manipulation.

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

Connects Blender 3D to Claude AI through the Model Context Protocol, enabling prompt-driven 3D modeling, scene creation, and real-time object manipulation.

Connects Blender to AI through the Model Context Protocol to enable prompt-assisted 3D modeling and scene manipulation. It supports object creation, material control, and arbitrary Python code execution directly within the Blender environment.