"Aer Lingus" matching MCP servers:

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 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.

An MCP server that enables AI assistants to control Adobe After Effects through a file-based communication bridge. It supports various operations including project and composition management, layer and keyframe manipulation, rendering, and batch processing.

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.

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

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.

Enables AI assistants to control Adobe After Effects through a file-based CEP bridge, supporting project and composition creation, layer and keyframe management, expressions, batch operations, and rendering.

An MCP server that gives AI agents the ability to listen to and understand music/audio files, enabling semantic analysis, stem separation, lyrics transcription, and signal processing via tool calls.

Enables AI assistants to build, animate, inspect, and script fully editable Adobe After Effects projects through a bridge panel, including frame and storyboard review.

Enables AI agents to inspect and control a live Adobe After Effects session, including reading active composition and layer data and evaluating arbitrary ExtendScript.

This MCP server lets AI assistants drive Adobe After Effects through ExtendScript, exposing tools to inspect projects and compositions, add text, solid, and shape layers, set transforms and keyframes, apply effects, import footage, render, save, and run arbitrary JSX. Calls are queued one at a time and results return as JSON.

Enables control of Adobe After Effects via natural language, allowing project manipulation, layer creation, animation, and rendering through MCP.

Enables AI video automation pipeline: ComfyUI image-to-video, FFmpeg processing, After Effects template rendering, review, and multi-platform publishing preparation.

Enables AI assistants and applications to control Adobe After Effects through the Model Context Protocol for composition, layer management, and animation.

Automate Adobe After Effects with AI through 70+ MCP tools.

Lets AI live-connect to Adobe After Effects to read project and comp structure, render and inspect frames, edit keyframes, expressions, and effects, and build or render projects end to end, all with undo support and safety guards.

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 MCP clients to drive Adobe After Effects via a Python server and CEP panel, supporting inspection, mutation, preview, checkpoint/revert, skills, and basic rigging.