"Information on Security Testing" matching MCP servers:

Enables automated testing and demo video creation using Playwright, with login, session orchestration, narration, and video compilation.

An MCP server that parses Douyin share links and performs intelligent content analysis using the Doubao video understanding model. It provides structured outputs including video summaries, categorized outlines, and step-by-step tutorial information.

MCP server for GIF animation analysis. Provides metadata extraction, individual frame export, and per-frame timing information.

A mock-first MCP server for audio generation that creates placeholder WAV files locally, enabling development and testing of audio workflows without APIs or costs.

An independently maintained MCP server that adds deeper session editing, mixing, MIDI surgery, and bounce workflows for Ableton Live, with enhanced privacy and security.

Enables AI-powered YouTube video analysis including transcript management, video summaries, chapter generation, keyword extraction, and playback control. Supports searching videos, retrieving channel/playlist information, and translating transcripts using Google Gemini AI.

Image Tools MCP is a Model Context Protocol (MCP) service that retrieves image dimensions and compresses images from URLs and local files using the TinyPNG API. It supports converting images to formats like webp, jpeg/jpg, and png, providing detailed information on width, height, type, and compressi

Enables downloading content from various social media platforms through a unified API. Provides a single tool to download media from multiple social networks using the Social Download All In One service.

Enables controlling FL Studio on macOS via MCP, including transport, mixer, channel, MIDI export, and Piano Roll note insertion.

Make drawings on a JavaFX canvas

MCP server that creates Remotion animations on the fly, stores MP4s locally, and lets you browse and download them via an interactive UI.

Enables an assistant to turn any video ffmpeg can read into a text transcript by extracting the audio, splitting it on silence, and transcribing each piece on-device through utt. Exposes tools to start a transcription job with optional hints and timestamps, and to poll for a transcript that is still being worked on.

Integrates with Freesound.org to enable searching, discovering, and previewing audio content such as sound effects and music loops. It provides detailed metadata and licensing information to support video editing and content creation workflows.

Enables extraction of YouTube video information including metadata (title, description, channel, views) and transcripts without requiring an API key, using yt-info-extract and yt-ts-extract libraries.

A Model Context Protocol server that transforms video downloading into a tool-based system for LLM orchestration, allowing users to download videos from 1000+ platforms with intelligent workflows and security features.

Lets an AI model drive a Teenage Engineering OP-1 field over USB MIDI — designing sounds, playing scored parts, running tape and mixer, and authoring presets — while capturing every take from the device's own USB audio. The model then works from measured recordings of what was actually heard, reading levels, note detection and spectrograms rather than assuming what it sent.

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 chat-driven video editing by letting an MCP host analyze raw clips and produce finished, beat-synced montages with matched music, subtitles, transitions, and picture-in-picture, all previewed as a timeline digest before rendering. It runs locally through agents such as Claude Code, Codex, Hermes, and OpenCode.

Enables users to turn raw video clips into finished, beat-synced montage cuts through natural-language chat, with the agent selecting shots, matching music, adding subtitles and transitions, and rendering the final video.

Enables an AI agent to ingest raw video clips, plan and edit a montage from natural-language prompts, and produce a rendered, beat-synced cut with matched music, subtitles, transitions, and picture-in-picture.

Enables users to turn raw clips into finished, beat-synced montage videos through natural-language chat, including shot selection, music matching, subtitles, transitions, and picture-in-picture. It lets agents analyze footage, plan and review cuts before rendering, and export final edits without a GPU or timeline editor.

Enables coding agents such as Claude Code, Codex, Hermes, and OpenCode to turn a folder of raw clips plus a plain-language brief into a finished, beat-synced montage, handling shot selection, music matching, subtitles, transitions, and rendering. Each turn returns a timeline digest and contact sheet so the cut can be reviewed before any frames are rendered.

A local MCP server that lets chat-based coding agents turn a folder of raw clips into finished, beat-synced montage videos by handling shot selection, music matching, subtitles, transitions, and rendering through natural language. It returns a timeline digest and contact sheet for approval before any frame is rendered.

Enables users to turn raw video clips into finished, beat-synced cuts through natural-language chat with compatible agents, handling shot selection, music matching, subtitles, transitions, and rendering while allowing review before export.

Enables Claude Code, Codex, Hermes, OpenCode, and other MCP hosts to turn natural-language prompts over raw video clips into finished, beat-synced montage edits with music matching, subtitles, transitions, and picture-in-picture, while returning reviewable timeline digests and contact sheets before rendering.

Turns a folder of raw clips plus a plain-language prompt into a finished, beat-synced montage, handling shot selection, music matching, subtitles, transitions, and picture-in-picture from within a chat agent. Returns a reviewable timeline digest and contact sheet before any frame is rendered.

A local MCP server that lets an AI coding agent turn a folder of raw clips into a finished, beat-synced montage from a plain-language brief. It handles clip analysis, shot selection, timeline planning, music matching, subtitles, transitions, and rendering, returning a reviewable timeline digest and contact sheet before any frame is exported.

Enables users to turn raw video clips into finished, beat-synced montages through natural-language chat, with automated shot selection, music matching, subtitles, transitions, and picture-in-picture. It returns reviewable timelines and contact sheets before rendering on approval.

Enables users to turn folders of raw clips into finished, beat-synced montage videos through natural-language chat, handling shot selection, pacing, music matching, subtitles, transitions, and rendering. It returns a readable timeline digest and contact sheet each turn so the cut can be reviewed and approved before anything is rendered.

A local MCP server that turns plain-language chat prompts about a folder of raw clips into finished, beat-synced montage videos — handling shot selection, music matching, subtitles, transitions, and picture-in-picture, and returning a reviewable timeline digest and contact sheet before anything renders. It works from Claude Code, Codex, Hermes Agent, or OpenCode, so editing happens entirely in chat with no timeline software or GPU.