"Understanding Boss Mode" matching MCP servers:

Enables MCP-compatible AI clients to connect to Autodesk Revit sessions, discover and call native modeling and documentation tools, execute C# or Python inside Revit, and inspect change history or model snapshots.

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 compatible AI clients to connect to Autodesk AutoCAD 2021-2025 through a hardened local MCP server and stdio bridge, supporting drawing reads and writes with read-only mode, approval prompts, and restricted code execution.

Connects LLM assistants to Autodesk Revit BIM models, enabling reading metadata, listing elements, creating geometry, batch parameter updates, and exporting schedules. Supports fake mode for testing without Revit and pyRevit mode for live integration.

Enables LLM clients to work with Vantage to inspect and modify scene state, open/save files, probe object properties, and run VScript payloads.

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 natural language control of Siemens NX for text-to-CAD modeling, generating .prt files via NX Open API. Currently supports basic solids, booleans, and fillets in batch mode.

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.

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.

Enables AI coding agents to retrieve mode and stage guidance so they can lead users through a 9-stage design workflow, including questions, required artifacts, exit criteria, dependencies, pitfalls, rollback impact, and environment requirements. It helps non-designers turn ideas into buildable HTML/WPF design specs while keeping the human in control of confirmation and revisions.

MCP server for the coss ui design system, enabling AI agents to fetch components, props, and design tokens on demand for accurate, low-cost code generation.

Injects the Code-Me brand identity, tone, and visual guidelines into LLMs with zero latency using built-in context files.

The pixel-diff verifier for Figma-to-code: converts a frame to HTML, React, Next.js or Tailwind with design tokens, then renders it and pixel-diffs it against Figma until it converges. Also verifies your own running app.

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.

MCP server for creating Apple .icon bundles with Liquid Glass effects (iOS 26+). 12 tools for programmatic icon creation, glass effect tuning, dark mode, and App Store export.

Serves the complete Sekura Design System—tokens, components, layouts, UX patterns, accessibility contract, and paste-ready code—to MCP-capable tools, enabling agents to build accessible, dark-mode-first interfaces with verified values.

Enables AI agents to generate complete, deterministic design systems from a single brand color — harmonious palettes, font pairings, type and spacing scales, elevation shadows, responsive grids, motion presets, dark-mode themes, and WCAG contrast audits — and export them as CSS, JSON, Tailwind, or SCSS through natural conversation.

Maps design components, tokens, and patterns to their code implementations, providing AI coding agents with exact-match resolution across any design tool and framework. Enables agents to reliably discover and reuse existing components across React, Vue, Flutter, SwiftUI, and more.

Generates and transforms Expo assets (icons, splash, adaptive icons) from source images. Also includes image transformation and SVG conversion tools.

Provides 8 MCP tools for frontend design: load design system, generate components, scaffold pages, review consistency, extract tokens, check WCAG 2.2 AA, test responsiveness, and export to Figma.

Lets agents see and drive a live 3D application session through its addon socket: viewport screenshots, turntable and multi-mode renders, scene and object inspection, arbitrary Python execution, GLB import/export and asset validation, plus rig, pose-deformation and silhouette-likeness checks. This lets an agent visually judge a 3D result instead of guessing.

Enables driving Inkscape headlessly from an MCP client, with verified SVG editing, rendering, optimization, and animation tools.

Enables users to generate rigged, game-ready gun models in Blender from parameterized presets or platforms, including attachments, animation clips, fact sheets, and reference-photo validation.

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.

Generates ProcessOn mind maps from Markdown content. Provides tools to check API key validity and create mind maps.

An MCP server that integrates AI agents with Figma, enabling reading and programmatic modification of designs.

Open-source MCP server for Autodesk Revit 2022 to 2027: read, audit and edit live models with 89 tools, one Undo entry per change, and a workstation read-only lock.

Bridges a local Figma development plugin to a local MCP server, letting the client read and write real canvas layers through the Figma Plugin API without consuming official MCP or Dev Mode quota. Supports layer and auto-layout editing, component and variable inspection, design-to-code context retrieval, and PNG/JPG/SVG/PDF export.

Lets an AI agent that is already driving a SolidCraft session export the live or saved design and open it directly in OrcaSlicer, with options for format, body filtering, control port, and export-only mode. It also exposes a diagnostics tool that reports the detected SolidCraft CLI, running control windows, and available slicer commands.

Enables local, versioned Blender character and shot production through fixed immutable stage transitions — reference import, blockout, mesh, retopology, look development, groom, rigging, animation, and rendering — with review gates, approvals, packaging, and resumable job control. It exposes these production operations over MCP instead of executing arbitrary Blender Python, keeping every write deterministic and caller-specified by exact source version.

Enables AI assistants to create and edit pixel art and sprite animations by driving Aseprite's 73 tools for sprites, layers, frames, cels, drawing, selections, palettes, tags, slices, tilemaps, filters and export, with a generic escape hatch to any of its 183 menu commands or Lua scripting API. It runs either headless in batch mode on files or live against an open Aseprite window so edits are visible and undoable.

Enables Claude and Codex to inspect the open Figma Desktop file — document structure, pages, selections, node properties and search — and to export nodes as PNG, SVG or JPG. It works over a local plugin-to-bridge WebSocket connection, so free-plan users get design context without Dev Mode, a paid seat, API keys or rate limits.

Enables AI agents to programmatically control a live Excalidraw canvas with element-level CRUD operations and real-time synchronization. It supports iterative diagramming through scene descriptions, screenshots, and advanced layout tools for collaborative AI-human workflows.

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.