"How to automate workflows in DaVinci Resolve and Fusion" matching MCP servers:

Open-source MCP server for controlling Autodesk Fusion 360 from any AI agent, enabling 3D modeling operations via natural language.

Enables MCP-compatible coding agents to inspect and automate Autodesk Fusion designs through a local add-in, with whole-task approval, recovery checkpoints, undoable transactions, and geometry validation.

Lets AI agents read, review, and edit PCB designs in Autodesk Fusion Electronics, covering schematic capture, placement, impedance-controlled routing, pours and stitching, design checks, and JLCPCB manufacturing outputs. Every change is verified by reading the design back from Fusion and rolled back if it does not match, with each tool call acting as a single undo step until the user saves.

An MCP server that provides 75 validated tools for Autodesk Fusion 360, enabling common CAD operations like sketching, extruding, and joint creation with structured error handling.

A safety-first Autodesk Fusion 360 MCP add-in that enables agents to inspect, plan, validate, and package CAD changes without blindly running raw scripts, with structured tools and preflight checks.

A remote MCP server exposing 36 Fusion 360 modeling tools over HTTPS, enabling secure remote control of Autodesk Fusion 360 with authentication, rate limiting, and audit logging.

Enables LLM agents to build and modify parametric 3D models in Autodesk Fusion 360 through sketches, solid features, construction geometry, inspection tools, and in-Fusion Python execution. It connects MCP clients to a local Fusion add-in with status checks, error reporting, and unit-aware operations.

Enables host-local MCP bridging to Autodesk Fusion for agentic product-development workflows, including raytraced rendering, experimental native drawing automation, and safe Windows setup without admin privileges.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

Enables an agent to turn a paper's draft into editable Figma frames for publication-ready figures, checking every number against the paper and verifying the exported PDF.

Transform Figma designs into pixel-perfect React + Tailwind components using the Model Context Protocol.

Enables AI assistants to inspect and automate Autodesk Fusion 360 through MCP, providing tools for CAD modeling, CAM manufacturing, and document management.

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.

Extracts SVG icons from Figma and generates React TSX icon components automatically, enabling AI assistants like GitHub Copilot and Claude to manage icon workflows.

Enables MCP clients to inspect FreeCAD documents and export named solids to STL, find and derive OrcaSlicer presets, preview and run slices with recorded manifests, and then read G-code metadata, query a Moonraker printer, upload G-code, and start an uploaded print as a separate confirmed step.

Exposes CAD design tools (box, cylinder, shell, etc.) via MCP, allowing AI agents and clients like Claude to create and manipulate parametric CAD models in Autodesk Fusion or a simulator.

Enables Cursor AI to read and modify Figma designs programmatically via the Model Context Protocol.

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

Enables AI agents to directly control Figma Desktop via MCP, supporting UI creation, editing, prototyping, and variable management with over 60 tools.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

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.

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.

Enables AI agents to read, analyze, and modify Figma designs, including bulk style updates, accessibility audits, comment triage, and code generation from designs.

Enables AI agents to read, inspect, and edit Figma files through a Model Context Protocol server with 107 tools, visual snapshots, fidelity tools, and optional REST API access.

Enables Cursor AI to read and modify Figma designs via the Model Context Protocol, allowing programmatic control over documents, components, styles, and more.

Enables safe, AI-driven CATIA V5 modeling through 36 guarded tools for creating and inspecting parametric CATParts, including sketch, part design, GSD/surface, and transaction operations, while preventing mutation of existing documents.

MCP server that enables AI agents to read, analyze, and modify Figma designs, including comment management via Figma's REST API. Works with any Figma account and supports parallel execution.

MCP server that parses .sketch design files into CSS-aligned, LLM-friendly JSON, enabling AI coding agents to generate high-fidelity HTML, Vue, or React code.

Converts Figma to Markdown. Strips out visual noise to drastically reduce LLM token consumption.

Enables AI agents to read and modify Figma designs programmatically through WebSocket communication, supporting document manipulation, styling, text replacement, and component management.