"Managing Proxmox Servers" matching MCP servers:

MCP server for interacting with Tdarr, a distributed transcoding system. Provides 21 tools for monitoring workers, managing flows, and controlling transcoding libraries.

Enables creating and managing BeatAPI AI Music Video and Ecommerce Video workflows. Supports inspecting workflows, credits, usage, uploading files, creating tasks, polling tasks, and managing webhooks.

Enables LLMs to control QLab live over OSC, including querying workspaces, managing cues, and sending raw OSC or AppleScript commands.

Enables AI assistants to prepare and record MiniDiscs by managing titles, readings, track order, groups, and NetMD/Hi-MD recording through a local MCP interface.

Enables AI assistants to automate DaVinci Resolve Free through MCP by creating timelines, managing clips and markers, importing media, adjusting properties, and queueing or starting renders via a local Lua bridge. It also allows arbitrary Lua execution inside Resolve for advanced project automation.

Enables MCP-compatible clients to programmatically control and automate DaVinci Resolve, including reading project/timeline state, building and editing timelines, managing the media pool, applying color operations, and running renders.

MCP server for archiving media from 600+ sites (YouTube, TikTok, etc.) and managing a local library with search, metadata, and download tools.

Enables an AI model to drive a Teenage Engineering EP-133 K.O. II from a Mac over USB MIDI, SysEx, and USB audio, managing sample uploads, project writes, playback, recording, and device backups.

An MCP server for managing a video pipeline with file, Excel, and search tools, integrated with Claude AI via a cloudflared tunnel; media processing (TTS/STT/images/montage) is under development.

Enables parsing, downloading, and converting HLS (m3u8) streaming media through FFmpeg integration. Provides a desktop application with MCP server capabilities for handling streaming playlists, extracting segments, and managing video downloads.

Enables LLMs to create and manage NFT collections and assets through the Uranium platform. Supports uploading media files, minting NFTs, and managing ERC721/ERC1155 collections on the blockchain.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Enables creating and managing Katto video clipping jobs from any MCP client, turning long videos into scored, captioned 9:16 clips.

An MCP server that enables users to control a MeTube instance for managing yt-dlp video and audio downloads through AI assistants. It supports operations like queuing URLs, listing active downloads, and managing authentication cookies.

Enables AI agents to protect media from AI training and detect AI-generated content using the Sidearm REST API. It provides tools for running protection algorithms, identifying copyright infringement, and managing digital media assets.

Enables AI assistants to fully control CapCut video editing projects, including creating projects, importing media, adding text/subtitles, managing audio, and editing timelines.

An MCP server that enables AI agents to play and control YouTube and TikTok videos through a native mpv player window. It supports browsing subscriptions, searching content, managing playlists, and fetching video metadata using authenticated browser cookies.

Enables creating and managing HappyHorse video generation tasks (edit, image-to-video, text-to-video) via RunAPI, with optional polling for completion and pricing lookup.

Enables creating and managing Runway video generation tasks (text-to-video, video extension) through a single RunAPI key, including task polling and pricing checks.

Enables AI-powered media manipulation including face swapping for videos and photos, lip syncing, and face detection via the Magic Hour AI platform. It provides tools for uploading files, managing video projects, and processing content from both local files and YouTube URLs.

An MCP server that enables users to control and edit REAPER projects through a Python-based interface and a Lua bridge. It supports managing tracks, controlling transport, manipulating MIDI and audio items, and adjusting FX parameters within the digital audio workstation.

Enables creation and management of NFT collections and assets through the Uranium API. Supports uploading files as NFTs, managing ERC721 and ERC1155 collections, and bulk operations across multiple collections.

Bridges AI assistants to Autodesk RV for managing media review sessions through natural language commands. Users can control playback, compare shots, and adjust color grading without needing any external plugins.

Enables MCP clients to control OBS Studio through an inspectable WebSocket interface. Provides 155 tools for managing scenes, sources, audio, transitions, filters, recording, and streaming through natural language.

Enables LLMs to control Ableton Live digital audio workstation through OSC (Open Sound Control) protocol. Provides comprehensive tools for managing tracks, routing, and DAW configuration through natural language commands.

This MCP server enables any MCP client to generate avatars and videos using the HeyGen API, with tools for managing credits, voices, and avatar video generation.

An MCP server that enables interaction with WhatsApp using the Baileys library and Streamable HTTP transport. It supports managing contacts, chats, and messages, while providing a web admin UI for QR code authentication and media handling.

Enables AI assistants and other applications to control Adobe After Effects through a standardized protocol, including creating compositions, managing text, shape, solid, camera, and null layers, and animating properties with keyframes, expressions, and masks. It also supports batch property updates, layer duplication and deletion, blend modes, track mattes, and running custom scripts inside After Effects.

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.