"A browser" matching MCP servers:

Enables agents to control a browser over HTTP MCP to open pages, take screenshots, click coordinates, and record audio/video as WebM.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

Transforms DALL-E 3, DALL-E 2, and GPT-Image-1 into MCP-compatible tools for generating images from natural language descriptions, supporting batch creation, style control, and flexible sizing.

Enables AI assistants to search, generate, and manipulate u-he synth presets through natural language, including browsing libraries, randomizing presets, and merging multiple presets.

Identify and remove AI provenance metadata (C2PA, EXIF, IPTC, XMP, TC260), visible AI-generator labels and supported invisible watermarks from images and video you generated yourself. Runs locally over stdio with uvx.

Record any browser page as GIF or video via MCP — powered by Playwright + ffmpeg

MCP server for Jianying (CapCut) AI-assisted editing, enabling natural language-driven draft generation, reference reuse, and batch template creation with safety checks.

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 agents to inspect and control Q-SYS audio/video systems via the QRC protocol over TCP, against a real Core or Q-SYS Designer emulator.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

Enables AI agents to automate a browser-based kinetic typography and video editing interface, including loading lyrics, choosing styles, setting BPM, clicking controls, capturing previews, and exporting MP4 or transparent PNG sequences.

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 video generation through OpenAI's Sora 2 API, allowing users to create, monitor, and manage AI-generated videos. It also provides tools for merging video clips and creating fade animations from static images using FFmpeg.

A local text-to-image generation server that enables AI agents to generate images, manage models, and browse history using the Z-Image-Turbo model. It supports hardware acceleration across NVIDIA, Apple Silicon, and AMD GPUs via multiple MCP transport protocols.

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.

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 AI assistants to control a Blender instance through MCP tools, supporting scene creation, editing, and asset exchange via HTTP and background CLI processes.

Enables AI agents to control the ScreenSlick browser video editor, supporting tasks like voiceover generation, transcript creation, and video export via a local WebSocket bridge.

Enables AI assistants to create, animate, and export ASCII art using natural language, with live browser sync.