"Understanding File Usage" matching MCP servers:

An MCP server that lets Claude read Figma file comments directly, with tools to list comment threads scoped to a frame or file and render images of pinned nodes.

Enables developers to extract and organize Figma design files, including complete node data (tree structure and images) for AI understanding and code generation.

An MCP server that provides AI tools with deep understanding of WireUI v2.x components and comprehensive icon support for Heroicons and Phosphor Icons.

Enables AI agents to inspect Figma design files by fetching file summaries, page structures, specific nodes, and rendered image previews, along with signed-in user details and file comments. It lets agents review design feedback and explore frames, components, and layers without downloading full node trees.

This server enables AI to match Figma design nodes with React components from Storybook and generate usage code examples, facilitating design-to-code workflows.

Unofficial local MCP bridge for reading the currently open Figma file through a Figma plugin. Provides tools to inspect selection, file info, and export selected nodes as SVG/PNG.

Provides component information, usage guidelines, and code generation for AWS Cloudscape Design System in React, with search and pattern library capabilities.

MCP server for design tokens that gives AI agents read access to design systems, enabling token resolution, listing, and component usage lookups via natural language.

Enables AI agents to automate AutoCAD drawings through a typed contract that drives either a live AutoCAD COM session or a headless ezdxf engine. It covers mechanical, architectural, and P&ID drafting, ISO GD&T and tolerance validation, standards-compliant sheets, and drawing understanding and takeoffs.

Enables AI agents to create, edit, inspect, and validate production drawings through one typed tool contract, driving either a live AutoCAD seat over COM on Windows or a headless ezdxf engine anywhere. It covers drafting, P&ID, mechanical, and architectural workflows with ISO/ANSI standards, dimension and tolerance checks, takeoffs, and drawing understanding.

Enables AI agents to drive production-grade CAD automation either live through COM on Windows or headlessly via ezdxf on any platform, using one typed contract across both engines. It covers drawing creation, P&ID, mechanical and architectural drafting, ISO GD&T and dimension-tolerance validation, takeoffs, and drawing understanding.

Enables AI agents to author and edit production CAD drawings — mechanical parts, architectural plans, P&IDs, ISO-compliant dimensions, tolerances and title blocks — either live in AutoCAD through COM on Windows or headlessly via ezdxf anywhere. It also reads existing drawings back to support understanding, critique, topology checks and quantity takeoffs.

Gives AI agents one typed tool contract for CAD automation, driving either a live Windows drafting seat through COM or a headless DXF engine anywhere. It enables mechanical part sheets, P&ID drafting and reading, architectural floor plans, ISO GD&T and dimension-tolerance validation, plus drawing understanding and takeoff workbooks.

Exposes SigmaUI Design System components to AI assistants, providing tools for component documentation, search, usage examples, and design tokens to accelerate Vue 3 and Nuxt 3 UI development.

Enables AI agents to automate AutoCAD drafting, drawing understanding, and quantity takeoffs either through a live COM connection on Windows or headlessly via ezdxf on any platform. It covers P&ID, mechanical, and architectural workflows with ISO/ANSI standards — symbols, dimensions, layers, frames, title blocks, parts lists, schedules, and validation of drawings made by others.

Enables AI agents to create, edit, inspect, and validate AutoCAD drawings through a typed tool contract, either live via COM on Windows or headlessly via ezdxf on any platform. It covers mechanical, architectural, and P&ID drafting, ISO-standard dimensioning and tolerance checking, and read-back tasks such as drawing understanding, takeoffs, and critique.

Manages design tokens (colors, spacing, fonts) in a JSON file and enables agents to read, write, export, and detect drift between tokens and CSS via MCP.

Transforms HTML into Figma designs using only the user’s design system, ensuring correct component usage or safe fallback to primitives, while continuously learning from each build to improve mapping accuracy and consistency.

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 AI agents to convert a self-contained HTML design into an editable Adobe InDesign (.idml) file, preserving text frames with paragraph styles, native tables, and vector shapes. Accepts raw HTML, a local .html file, or a hosted URL, and returns the converted file along with required fonts and a geometry check.

The Figma desktop app as an MCP server. Gives AI agents the full Figma Plugin API on your open file: read, write, tokens, components, exports, undo. Runs locally with no cloud API, no token and no quota.

figmcp gives your coding agent the Figma file you have open in Figma Desktop. A development plugin streams the file to a server on your machine over localhost, so reads never touch the Figma REST API: no access token, no quota and no rate limits, on any Figma plan. * Design to code: Flutter widgets for Flutter projects, React + Tailwind for everything else, with assets and a scree

MCP server for Gaea 2.0 terrain generation, enabling CLI build automation and .terrain file graph manipulation through natural language.

An MCP server that provides file I/O and primitive placement tools, enabling AI assistants to create and manage Altium Designer component libraries.

MCP server for managing Figma workspaces, providing 102 tools for seats, teams, permissions, billing, file operations, and cleanup, enabling agents to handle admin tasks and everyday design work via natural language.

Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.

MCP server for RenderForm API, enabling automatic generation of images, PDFs, screenshots, and videos from templates, along with management of renders, templates, fonts, and organization usage.

Enables AI agents to create, validate, review, patch, save, share, and preview Minecraft textures and skins by compiling JSON specs deterministically to PNG, with review sheets, art feedback, docs, examples, and workspace-safe file operations.

Enables listing top-level frames in a Figma file and fetching a selected frame's rendered PNG, node JSON, and image-fill map into a local output directory.

Enables AI assistants to search, compare, and render Hugeicons as SVG in installed free and Pro styles, with control over size, color, secondary color, stroke width, and saving to an SVG file.