design tools向けの厳選されたMCPサーバーコレクションをご覧ください。369個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Enables Cursor AI to interact with Figma, allowing programmatic design modification and data extraction.
Renders UML diagrams from PlantUML DSL or natural language, returning image data through an API.
Interfaces AI assistants with the TRELLIS text-to-3D/image-to-3D model via the Model Context Protocol (MCP).
Provides AI models with access to 2slides' presentation generation, job management, and theme search capabilities.
Connects AI Desktop Apps with Revit, enabling AI to inspect and select elements based on model feedback.
Generates dynamic, structured UI templates from natural language requests using Large Language Models and an MCP server.
Retrieves SVG icons quickly using natural language processing and the Iconify API.
Provides file statistics, directory listing, and image compression capabilities through a Model Context Protocol (MCP) server.
Enables AI assistants to interact with and manage Figma files, comments, components, and more through the Model Context Protocol.
Automates Figma design creation and manipulation through plugins and direct integration.
Generates precise geometric images from Asymptote code, enabling AI models to request image creation.
Converts SVG images into favicon formats (ICO and PNG) for web applications, supporting base64 encoding and MCP protocol integration.
Bridges FAL AI's powerful image and video generation capabilities with MCP-compatible clients for seamless content creation.
Enables users to create, customize, and generate interactive UI components through a sophisticated server with a modern glassmorphism design.
Copies CSS or Tailwind properties from a webpage for use in a development application.
Provides access to Kie.ai's generative AI APIs for advanced image and video creation and editing.
Converts SVG code to high-quality PNG and JPG images with detailed customization options.
Enables AI assistants to control Keynote presentations through AppleScript automation.
Enables Figma plugin and widget integration through a Model Context Protocol (MCP) based API server.
Enables AI assistants to create and run Processing sketches directly using natural language commands.
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