"Information about Lanhu" matching MCP servers:

Enables AI coding tools to read Lanhu design data and automate Design to Code, including project browsing, layer tree extraction, DDS semantic components, and code generation.

Provides AI coding agents with structured access to Lanhu design data, enabling direct inspection of artboards, extraction of pixel-perfect layer styles and CSS attributes, and downloading of design assets without vision token overhead.

Enables AI to directly read and analyze Lanhu design drafts and requirement documents to generate HTML, CSS, and structural analyses. It allows users to extract design slices and process prototype pages directly within AI clients.

Read-only MCP server that converts Lanhu project/design links into design context consumable by Codex or other AI agents.

Fetches Lanhu UI design specs and assets with minimal tokens, enabling coding agents to implement high-fidelity UI by providing precise coordinates, styles, and downloaded resources.

Converts a Lanhu design page into a Unity UGUI prefab YAML snapshot, enabling Unity developers to generate UI prefabs from Lanhu designs.

Parses Lanhu design files into structured layer trees with detailed visual properties, supports slice downloads, requirement documents, and team collaboration features.

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

Connects AI assistants to Lanhu design collaboration platform for analyzing Axure prototypes, downloading UI designs, and enabling team knowledge sharing through a collaborative message board that breaks AI IDE silos.

A read-only MCP server for reading and analyzing Lanhu (Blue Lake) design projects, providing tools to retrieve design lists, previews, node trees, schemas, and exportable resources.

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

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

AI-powered MCP server for analyzing UI designs and bug reports from Lanhu and Zentao platforms.

Use Claude to control or ask questions about your Altium project.

Use Claude to control or ask questions about your Altium project.

MCP server providing AI assistants with comprehensive documentation about @deay/ui components, including props, examples, best practices, and Figma design specifications.

Exposes Levit design system (GDS) metadata to AI coding tools, enabling queries about color tokens and component usage via natural language.

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.

Local MCP server for parsing Sketch exported HTML zip archives and extracting design structure information.

Enables AI assistants to create, edit, and export IFC5/IFCX building information models through natural language, handling spatial structure, elements, geometry, metadata, validation, and export.