"An MCP server for Aura Courier" matching MCP servers:

Enables an LLM client to read and edit a live After Effects project through 108 stdio tools covering compositions, layers, keyframes, text, effects, rendering, quality checks, and checkpoint rollback.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

An unofficial MCP server for generating infographics and visuals from text using the Napkin AI API, enabling AI assistants to create professional diagrams, mindmaps, and charts.

Connects MCP-aware AI clients to a live SketchUp session so users can create and modify 3D models, apply materials, perform booleans and joinery, and export scenes through natural-language prompts.

Enables Codex to inspect a native After Effects project, make scoped edits, and render frames for review through a local macOS bridge. It exposes MCP tools that drive a named After Effects worker without requiring an in-app panel or separate chat client.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

Enables Claude to draw, verify, correct, and organize precise 2D architectural geometry directly in an open Vectorworks file, including exact arcs, measurements, classes, layers, and self-checking fixes.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Enables AI assistants to operate Adobe After Effects with the dexterity of an editor: reading projects, creating and rigging layers, setting real velocity curves, animating text, building native SVG-based shapes, applying effects, expressions, masks, and viewing render snapshots to verify results.

Connects a compatible AI assistant to a running Blender session so it can build, arrange, edit and validate 3D scenes using reusable ready-made actions instead of writing new Python for common operations. It keeps a persistent local bridge open for grouped actions and offers built-in scene checks for floating objects, orientation and clearance problems.

Enables AI assistants to inspect and organize Adobe Premiere Pro projects, edit timelines with frame-accurate cuts and trims, animate motion and opacity keyframes, and trigger exports through natural language.

Enables MCP clients to control EasyEDA Pro for schematic and PCB design through natural language, bridging the EasyEDA API without external AI or API keys.

Enables controlling CLO3D from any MCP client to inspect projects, create and edit patterns, manage fabrics and colorways, run simulations, and export models through chat.

Enables Claude or any MCP client to build, animate, preview, and render motion graphics in a live Adobe After Effects project, including comps, layers, keyframes, effects, cameras, masks, and renders.

Enables Claude and other MCP clients to query an open Autodesk Revit model through pyRevit 7 — counting doors and rooms, taking off wall, slab and structural quantities, detecting missing parameters, and exporting results to Excel. It runs only a fixed set of pre-written scripts (no arbitrary AI-generated code), with 10 of 11 tools strictly read-only.

Enables any MCP client to search, read, and install free Aura components, agent skills, images/clips, and DESIGN.md systems straight from the public catalogue over stdio, with no account, OAuth, or API key needed. It also returns install plans, token starters, starter kits, and trending/category data so agents can assemble landing pages and UI sections in a few calls.

Enables Codex to interact with and control FreeCAD 1.1.x locally through typed MCP tools, including health checks and an optional Python execution escape hatch for direct document manipulation.

Enables inspection and editing of Cascadeur rigs, controller animation, poses, keyframes, motion plans, review images, and FBX exchange through 49 structured tools plus optional Python execution.

An MCP server that enables AI assistants to control Adobe After Effects with 70+ tools for compositing, animation, effects, and motion graphics.

Lets AI agents drive a running Adobe After Effects on Windows to build comps, add layers and effects, set keyframes and expressions, convert Illustrator logos to shapes, and render without installing an AE plugin.

Enables Claude to inspect and build compositions in an open Adobe After Effects project, animate layers and effects, preview real frames, compare against reference video side by side, measure and recreate camera moves, detect cuts and beats, and render MP4s.

Enables AI assistants to programmatically inspect projects, create compositions and layers, apply effects, animate properties, and manage render jobs in Adobe After Effects through natural language.

Connects LLMs and agentic assistants directly to an active Adobe After Effects session on Windows, enabling composition inspection, parametric motion graphics, keyframe injection, vector masks, audio beat analysis, and automated rotoscoping.

It exposes five streamable-HTTP tools that add service and FAQ information, Figma or URL-to-DX component generation, session-based user identity lookup, and diagnostics to an existing DX IQ deployment.

Connects MCP-compatible AI assistants to Azgaar's Fantasy Map Generator so they can view, inspect, edit, and export fantasy maps in a live local browser, including borders, states, terrain, layers, and files. It runs locally and offline after installation, supports collaborative manual editing, undo, autosave, and text-only map output for models that cannot see images.

Enables LLM-driven inspection, building, modification, and visual review of Adobe After Effects compositions through structured scene-level operations and a CEP-to-ExtendScript bridge.

Enables AI-assisted 3D scene manipulation in Cinema 4D via natural language, using an MCP server that communicates with a C4D plugin.

Node.js MCP server enabling AI assistants to interact with Autodesk Revit for model operations, data queries, and sketch-to-building generation via LLM.

Enables AI assistants to control Blender 3D modeling software through a stable, goal-oriented tool API for safer and more reliable 3D scene manipulation.

Enables AI coding agents to read and write a user's Figma file through the Figma Plugin API, offline and privately, without API tokens or rate limits.