"Managing and Working with Files" matching MCP servers:

Enables AI assistants to search and audit a Serato DJ library by BPM and Camelot key, browse crates, detect duplicates and missing files, and stage new crates for review before writing.

Enables AI to send expressive stickers based on conversation context, with a built-in UI for managing stickers.

An implementation of the Model Context Protocol that provides AI models with standardized access to Kaltura's media management capabilities including uploading, retrieving metadata, searching, and managing categories and permissions.

Enables creating and managing Spotify playlists using natural language with advanced similarity matching across 8 different algorithms. Supports finding similar tracks based on audio features, mood, energy, genre, and custom weighted parameters to build personalized playlists automatically.

MCP server for managing Transmission BitTorrent client. Provides tools to add, remove, monitor, and control torrents, as well as configure session settings.

An MCP server that enables AI assistants to log into Soulseek, search the network, and download files through simple tool calls.

Enables searching, managing playlists, getting recommendations, and downloading music from TIDAL through natural language commands via the Model Context Protocol.

Fetch Songsterr tabs and transpose them between tunings and string counts, outputting ASCII or Guitar Pro files.

Enables AI assistants to interact with the M-Team private torrent tracker API for searching resources, retrieving torrent details, and downloading torrent files. It provides a bridge for Model Context Protocol clients to manage and access private tracker content through natural language.

Enables fetching YouTube video transcripts as Markdown files with chapter indexing, so LLMs can read only relevant sections and save context.

Enables searching and managing Spotify playlists, tracks, and user information through the Spotify Web API.

Enables AI clients to create and manage FindMe Photo wedding galleries, upload photos from local files or URLs, and retrieve analytics and QR codes using natural language.

Enables AI agents to work with a user's Google Photos through Google's picker, letting users choose exactly what the agent sees while providing tools for uploading media, creating and sharing albums, writing captions and enrichments, searching app-created media, and managing multiple Google accounts.

Enables searching and browsing anime/manga, characters, staff, and more on AniList without credentials, and with a one-time login allows managing personal lists, favorites, follows, and activity.

Context7 MCP is a service that provides developers with the latest code documentation and examples. By integrating into the development environment, it ensures that the code generated by LLMS is based on the latest library documentation.

Enables AI assistants like Claude to interact with SongPilot workspace for creating artwork, planning releases, writing bios, and managing music catalog.

Enables managing your own IMDb account through MCP, including searching titles, rating movies, and viewing or modifying your Watchlist using locally imported browser cookies.

MCP server for managing media downloads with Radarr and Sonarr, providing granular tools for searching, adding, and grabbing movies and TV shows through natural language.

A smart AniList integration for the Model Context Protocol that provides AI assistants with tools for searching media, managing watchlists, and analyzing user anime or manga tastes. It goes beyond basic API calls by offering personalized recommendations, taste comparisons, and natural language profile summaries.

An MCP server that lets AI agents control Android TVs via ADB, including searching and playing content across streaming services, managing power and volume, and sending remote control commands.