"Information about Rails console in Ruby on Rails" matching MCP servers:

Enables AI assistants to access and manipulate Figma designs, including extracting design systems, creating and debugging UI components, and syncing design tokens bidirectionally.

A Model Context Protocol server that bridges design and development by giving AI assistants complete access to Figma for extraction, creation, debugging, and bidirectional token sync.

Model Context Protocol server that bridges design and development, giving AI assistants complete access to Figma for extraction, creation, debugging, and bidirectional token sync.

Bridges AI assistants with Figma for design system extraction, bidirectional token sync, visual debugging, and design creation.

Enables AI assistants to read, create, and modify Figma designs, synchronize design tokens bidirectionally, and auto-document component-variant sets via Obra Autodocs integration.

Enables Claude to interact directly with Figma Desktop for creating UI components, managing design tokens, and auditing files through natural language. It establishes a live connection between the AI and the Figma API via a local server and companion plugin.

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

Enables AI agents to read and draw on Figma canvas safely, with built-in safeguards for layout, overlays, and verification.

Exposes tools to ingest FigJam boards, retrieve context summaries, and answer free-form questions about the board content.

Connects MCP-aware AI clients to a live SketchUp session so models can be built and edited through natural-language prompts. Exposes typed tools for geometry creation, materials, booleans, edge chamfers/fillets, joinery, scene export, model introspection, viewport screenshots, and an optional arbitrary-Ruby escape hatch.

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

Enables AI clients to drive SketchUp Pro 2026 on a Windows host, including from WSL, by executing arbitrary Ruby in the active model, reading scene and selection details, and capturing viewport screenshots. It talks to a loopback TCP bridge inside SketchUp using a connect-per-command protocol for reliable, desync-free control.

Enables AI agents to create and configure product mockups on ultramock.io using your own logged-in subscription.

Enables controlling SketchUp from MCP-compatible clients via a stdio Python server that bridges to a Ruby plugin, supporting component operations, material assignment, scene export, arbitrary Ruby evaluation, and wood joinery tools.

Enables MCP clients to inspect and modify SketchUp models through a local authenticated bridge, covering entity creation and editing, geometry, materials, tags, cameras, scenes, transactions, snapshots, and file or view export. It also offers an optional full SketchUp Ruby API execution channel and batch operations for furniture, architectural, and analysis tasks.

Hosted MCP server for Imejis. Your AI agent designs a template once, then renders on-brand images in bulk with the same layout every time, only the data changing.

Give your AI assistant the ability to inspect, measure, and compare 3D CAD models by dropping in a STEP file and asking engineering questions. Runs entirely on your machine with no cloud, no CAD license, and no setup.

Enables parsing of PSD files and extraction of layer information, design tokens, and assets to assist LLMs in converting designs to code.

Enables reading and acting on comments in Figma and FigJam, resolving which layer each comment is pinned to, complementing the official Figma MCP server.

Enables Claude to generate and iterate on UI mockups using OpenUI Lang against a shadcn/ui palette, with live preview and auto-persisted assemblies that can be updated in place.