"Campaign Monitor" matching MCP servers:

Enables reading and controlling a Universal Audio Apollo interface: channel names, faders, preamp gain, cue sends, monitor control, and more via the UA Mixer Engine's local TCP API.

Enables AI agents to create, monitor, and download video transcodes through the FFmpeg Micro REST API.

Enables AI assistants to remove backgrounds from images using the Poof API via URLs, file paths, or base64 encoding. It also allows users to monitor their account information and remaining credit balance.

Enables agents to manage video composition projects, run linting, render videos, capture snapshots, and monitor/cancel long-running jobs via MCP.

Enables AI agents to monitor, manage, and operate a Tdarr transcoding farm by inspecting nodes, workers, queues, libraries, plugins, and job reports, and by triggering scans, requeues, and worker actions.

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.

Enables AI assistants to capture screenshots and read clipboard content from Windows applications while operating within a WSL environment. It supports monitor or window-specific targeting and features intelligent image optimization for efficient data transfer.

Exposes Modal cloud functions as MCP tools for video rendering, voice synthesis, and app management. Enables LLM agents to execute Remotion renders, F5-TTS voice cloning, and monitor Modal applications via Supabase-backed infrastructure.

Enables editing inside an open Premiere Pro project by reading the real timeline, applying cuts and transcript-based cleanup in place, and verifying results with rendered frames from the Program Monitor.

An advanced MCP server that enables asynchronous downloading of YouTube videos and playlists with features for job tracking and library management. It utilizes yt-dlp and an SQLite database to store metadata, monitor download status, and manage content through Claude Desktop.

A Model Context Protocol (MCP) server for seamless integration with peripheral devices connected to your computer. Control, monitor, and manage hardware devices through a unified API.

Enables Claude to generate images through a local ComfyUI instance using Stable Diffusion and SDXL models via natural language. Users can trigger image generation, list available checkpoint models, and monitor the ComfyUI queue status directly from their MCP client.

Enables agents to create, monitor, cancel, and download cinematic AI video renders through the Future Video Studio Agent API.

Windows integration MCP server that enables Claude to interact with Windows system features including media playback control, notification management, window operations, screenshots, monitor control, theme settings, file opening, and clipboard access.

An MCP server that provides LLM agents with direct access to webcam hardware for capturing high-resolution photos and recording video sequences. It enables autonomous agents to monitor environments and interact with the physical world through standard Model Context Protocol tools.

Enables AI agents to control and monitor Bitwig Studio in real-time using natural language commands through MCP and OSC.

Qencode MCP server that connects AI clients to the Qencode Transcoding API via OAuth, allowing agents to submit, monitor, and reason about video transcoding jobs, including HLS ABR ladders, MP4 encoding, thumbnails, subtitles, transcriptions, and DRM packaging, plus Qencode Media Storage bucket and object management.