"A server for finding sound effects" matching MCP servers:

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.

Lets Claude drive Adobe After Effects to build comps, animate layers, apply effects, write expressions, and render frames back so the model can see its own work.

MCP server that lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.

A production-minded Model Context Protocol server for Adobe After Effects that enables AI agents to control motion graphics, editorial planning, and rendering.

MCP server that enables controlling Adobe After Effects through a bridge panel, supporting composition, layers, effects, presets, markers, and audio automation.

Enables AI assistants to control Adobe After Effects for composition, layer, effect, preset, marker, and audio automation through a bridge panel.

Enables controlling Adobe After Effects through a bridge panel to automate compositions, layers, effects, presets, keyframing, markers, audio analysis, and Lottie/dotLottie compilation with interactive state machines. It supports expression baking, vector export, and dotLottie packaging workflows.

Lets Claude Code or any MCP client drive an open Adobe After Effects instance to inspect projects and comps, build and animate layers with ExtendScript, preview frames as images, import footage, and render comps with live progress reporting. All changes land as single undoable steps, and communication stays local through a token-protected bridge.

Lets Claude drive Adobe After Effects on Windows — creating comps, layers, effects and expressions, rendering frames or full renders, and listing or tweaking parameters of any installed native or third-party plugin. It also runs arbitrary ExtendScript and menu commands, so plugin-only workflows can be orchestrated from natural language.

Enables AI agents to control Adobe After Effects for project inspection, composition creation, and layer manipulation via a hardened bridge panel.

Enables AI agents to connect to Adobe After Effects locally, inspecting projects, comps, and layers, discovering and executing a catalog of operations, rendering frames, and saving projects, with on-demand skill-based guidance.

Enables local automation of Adobe After Effects 2024+ through MCP, including composition creation, arbitrary ExtendScript execution, footage import, project saving, and rendering via clients like Codex.

Enables AI clients to control Adobe After Effects compositions, layers, 3D cameras, text animators, Bézier speed curves, effects/plugins, and asset imports, with frame snapshots, preview video export, automatic backup, and rollback.

Enables AI assistants to control Adobe After Effects through MCP, including creating and modifying compositions, layers, masks, cameras, and animations, plus an English-to-Vietnamese text layer localization toolset.

Enables controlling Adobe After Effects from an MCP client through a bridge panel running inside AE. Supports composition and layer automation, effect and preset application, keyframing, markers, and audio waveform analysis for generating markers.

Enables AI assistants to control Adobe After Effects via MCP, including creating compositions, managing layers, setting keyframes and expressions, applying effects, and swapping footage/comps in batch operations.

Enables AI assistants and applications to control Adobe After Effects through the Model Context Protocol, including creating compositions, managing layers, and animating properties via keyframes and expressions.

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

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.

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.