"screenshot" matching MCP servers:

Enables searching public UI design libraries (Refero, Mobbin, ScreensDesign, Dribbble) for real app and website screens, downloading them into a category-organized local library that can be searched offline, and capturing screenshots of any web page with a real browser. Works from any MCP client or as a standalone CLI.

Enables AI agents to compose fake chat conversations and generate deep links to a pre-filled mock screenshot generator for parody, education, and design mockups.

MCP server that gives AI agents browser-based access to Mobbin for design research, screen discovery, and screenshot collection through automated browser control.

MCP server for controlling TouchDesigner from AI coding agents like Claude Code and Codex CLI, enabling operator manipulation, parameter control, and screenshot capture.

Enables AI agents to create, update, patch, move, screenshot, and delete desktop widgets through MCP tools, with guided authoring and permission-scoped capabilities.

Enables AI agents to create editable app store screenshot projects, manage authorized assets, review and correct designs with browser tools, and provide editor links for website export.

MCP server for ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.

MCP server for controlling Figma Slides — create, edit, and screenshot slides from any AI assistant that supports MCP.

MCP server for creating and manipulating generative art with p5.js, Three.js, GLSL, Canvas2D, and SVG, featuring workspace management, parameter control, and screenshot capture.

Enables safety-gated, local MCP-driven automation of a validated Windows CLIP STUDIO PAINT 5.1.2 production environment, including screenshot inspection, UI input, shortcuts and Auto Actions, and constrained file import/export operations.

Deterministic screenshot diffing for AI coding agents. Extract design tokens, diff implementations vs reference, get CSS fix suggestions.

Fast, quota-free Figma automation for coding agents, enabling AI agents to read, edit, migrate, audit, screenshot, and prototype inside Figma Desktop files.

AI App Store Screenshot Generator

Enables an AI assistant to open 3D model files (STL, 3MF, Bambu Studio and OrcaSlicer projects) in a local browser viewer where the user clicks exact spots to leave feedback. Each note comes back with the part name, millimetre coordinates, surface direction and a numbered screenshot, so the assistant can revise the design and show the new version.

Mokido MCP lets an AI agent design in a live Figma file through a Desktop plugin. One call writes the whole change as sandboxed JS and returns a screenshot of the result, so the agent sees what it drew. Reads come back compact to save tokens. Zero npm dependencies, works on the free Figma plan, no Dev Mode seat.

Enables MCP-based interaction with AutoCAD and DXF/DWG drawings, supporting document lifecycle, entities, layers, blocks, layouts, viewports, zoom, screenshot capture, and PDF export via ezdxf or live Windows AutoCAD COM backends.

Enables Claude and other MCP clients to see, inspect, measure, screenshot, audit, and safely edit the currently open model, including guarded operations such as moving walls or cutting door openings.

Enables an AI agent to read and write a product's design screens on a shared, versioned canvas: creating and editing HTML screens and shared parts, taking screenshots, linking flows, posting comments and annotations, and opening or approving proposals. Every drawing is returned with its screenshot so the agent can see what it produced, letting screens persist and evolve across chats instead of starting from zero.

Enables MCP-connected assistants to turn a natural-language brief into a complete, polished, responsive landing page by owning design strategy, HTML generation, composition validation, Chromium rendering, screenshot capture, and an audit manifest. Exposes just three production tools for generating and building pages and inspecting capabilities, so the connected model only has to translate intent into a brief and critique the rendered result.

Enables Claude Code to build entire Figma screens from a compact JSON spec using the design system tokens, styles, and components already in the file, with a local Figma plugin bridge and screenshot verification. It reduces token use by delegating Figma work to a Sonnet subagent and returning short summaries.