"Information about network devices" matching MCP servers:

Enables users to automate the creation, editing, animation, and export of pixel-art game assets through a multi-agent pipeline that derives style specs and blueprints, generates Lua build scripts, and drives the canvas editor to produce .aseprite files, spritesheets, atlases, GIFs, and previews.

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

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

Enables LLMs to read and modify the EPLAN Electric P8 data model through MCP, including listing pages, reading devices and parts, copying circuits, renaming tags, and fixing texts.

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.

An MCP server that lets AI assistants control Adobe Illustrator locally—running ExtendScript, capturing canvas screenshots, exporting artwork, and optionally remembering techniques—all without network activity.

thicken turns photos of a real object into a GLB model at its real size and its metadata as JSON, read off the object by vision models and looked up in public catalogs. What it knows about each kind of object lives in a profile: a few come with thicken, and you can add your own.

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

Enables coding agents to read ground truth about a React design system — components, props, cva variants, tokens and docs — over MCP so they write UI that matches it. It also exposes a check_ui linter agents run on their own output, returning rule ids, locations and concrete fixes before review.

Provides deterministic, read-only design knowledge for AI coding agents to help them choose visual directions, plan UI states, and compose design tokens, all without network access.

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

Deterministic HVAC duct sizing for agents: size one run or a whole supply, return, exhaust, or outside-air network from terminal CFM, and grade existing round, rect, or oval ducts. Local stdio, no CAD host or API key needed.

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

Enables AI clients to search a library of 2,800+ science illustrations, fetch SVG content and metadata, and download icons locally, with category/license filtering and attribution information.

A local MCP server that renders nyyon's editorial diagrams and featured covers from a spec, without network requests.

Lets Claude work inside an open Vectorworks drawing on macOS, reading and bulk-editing Spotlight lighting devices, checking positions, and exporting channel hookup paperwork. It can also run arbitrary Vectorworks Python, with validated all-or-nothing edits and a tool that undoes exactly the last change.

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 assistants to author and push CAR-TER control surface layouts to paired iOS devices in real time, with tools for incremental editing, live preview, and data wiring.

Enables offline reading and rendering of Figma .fig files, allowing AI agents to extract design specs, export assets, and generate code without needing the Figma API or network access.