"Information about cursors (general use or specific context)" matching MCP servers:

A read-only MCP server that extracts actual Figma prototype flows, transitions, and per-screen interactions so agents can see navigational behavior rather than infer it. It reports explicit source and destination IDs with warnings for unresolved or ambiguous destinations, without guessing or writing back to Figma.

A Model Context Protocol (MCP) server that enhances Figma design integration by adding element position information to API responses, enabling AI assistants to better understand spatial relationships and convert designs to code more accurately.

Converts Lanhu design URLs into AI-ready implementation context including HTML+CSS (Tailwind), image downloads, design tokens, and guidance.

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.

Loads your project's Tailwind CSS config and exposes tools for AI agents to query actual design tokens and validate class names, preventing hallucination of non-existent utilities.

Converts Figma designs into structured code context with token-aware styling, enabling AI agents to generate production-level frontend code.

An MCP server that gives AI coding tools access to Figma design data for accurate one-shot implementation of designs.

An MCP server that gives AI coding agents access to Figma design data, enabling pixel-perfect implementation of designs through structured data extraction, image downloads, and design token retrieval.

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

Converts Figma design data into structured semantic analysis JSON and screenshots for AI agents to use in design-to-code workflows.

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.

Enables local Draw.io diagram creation, editing, and export via MCP tools, using the desktop app.

Enables AI agents to programmatically create, inspect, edit, validate, and headlessly render traditional 2D hand-drawn animation projects, including frames, layers, audio, camera keyframes, spritesheets, and video or GIF exports.

Gives AI coding agents like Cursor access to Figma file, frame, and group data, simplifying and translating Figma API responses into concise layout and styling context so designs can be implemented accurately in any framework in one shot.

Enables AI agents to extract design systems, analyze components, and maintain design-code consistency from Figma files, providing intelligent component analysis and accessibility compliance.

Enables coding agents like Cursor to access Figma design data, fetch layout and styling information, and implement designs in any framework.

Enables AI coding agents such as Cursor to access Figma file, frame, and group data, simplifying Figma API responses into relevant layout and styling context so designs can be implemented accurately in code.

Enables AI coding agents to retrieve simplified Figma layout and styling data from files, frames, or groups so they can implement designs in code more accurately.

Enables Cursor to access Figma design data via MCP, allowing it to fetch simplified layout and styling information to accurately implement designs from Figma files.

Enables AI clients to read design pages, screenshots, original assets, styles, and workflows from Lanhu, Figma, and Mockplus, inspect elements, download resources, and build local page-flow maps.

Enables AI coding agents to access Figma design data, including file, frame, and group metadata, so they can implement designs accurately in code. It simplifies and translates Figma API responses into relevant layout and styling information.

Enables AI coding agents such as Cursor to access simplified Figma layout and styling data from file, frame, or group links so they can implement designs more accurately in code.

Enables controlling a local Blender instance through natural language or code, allowing arbitrary Python/bpy execution and querying scene or object information via MCP.

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

A Model Context Protocol server that exposes an airline design system as a queryable knowledge base, enabling AI to discover components, find components for use cases, and scaffold prototypes.

Enables Claude AI to extract design information from Figma files and create or update designs via a Figma plugin, supporting both readonly and write modes.

Enables AI agents to interact with Storybook by exposing UI component information and development workflows through the Model Context Protocol.

Provides a hosted remote connection to Mobbin's library of real-world app and web design references over Streamable HTTP, requiring nothing to install or run locally. Access is authorized through an OAuth browser sign-in on first use, with per-client setup and tool listings documented externally.

Enables AI coding agents such as Cursor to fetch, simplify, and translate Figma layout and styling data so they can implement designs accurately in code.

An MCP server that lets coding agents ground UI work in real product screens by fetching one to three reference screens as inline images for a specific layout, state, or interaction question, and by looking up fonts, icons, or animated icons together with their recorded licenses. It also returns the full or selected design reference—overview, colors, typography, components, and provenance—for any web screen already picked.