"Toggl Track" matching MCP servers:

Search and discover YouTube channels via natural language, track them, and summarize videos without transcripts using Gemini API.

Enables MCP clients to manage Apple Music playlists end-to-end, including search, playlist creation and editing, metadata and flow auditing, track ordering optimization, and listening statistics, without an Apple Developer account.

Enables AI clients to control the Windows NetEase Cloud Music desktop app via local stdio MCP, including reading current song and liked state, searching and playing tracks, playback control, track skipping, and setting the current song's liked status.

Provides access to Lightning FM's music catalog, allowing agents to search tracks, look up artists, and check the currently playing track and stream URL via public Nostr and Blossom infrastructure.

Enables AI models to read and edit your own BandLab songs via natural-language prompts, performing concrete mix operations like adjusting track levels, pan, effects, and arrangement while creating new non-destructive revisions.

MCP server for the Podcast Index API — search podcasts, track appearances, monitor trending shows, check feed health

Enables users to turn festival lineups, moods, genres, similar artists, or blended playlists into reviewable, editable track drafts built from matched songs. Drafts can be published as playlists in the user's own Spotify account, or exported as Deezer-linked lists, running entirely locally.

Autonomous music intelligence & A&R qualification engine. Extracts acoustic metadata (BPM, key, mood), scores real-time Spotify streaming traction, and detects AI-generated audio (Suno/Udio).

An MCP server that exposes the full BetaSeries API as 23 tools, enabling LLM clients to track TV shows and movies, manage planning, ratings, and social features via natural language.

An MCP server for the Last.fm API that enables LLM agents to access music data including user profiles, listening history, top charts, search, and artist/album/track metadata.

Enables AI agents to search a catalog of 880+ artist-owned tracks by title, genre, mood, energy and musical key, audition previews, read live license prices, and build multi-track quotes that end in a pre-filled checkout page for social media, TV/streaming and film use. All tools are read-only with no API key, leaving payment and license request submission to the website.

Crunchyroll anime streaming MCP connector that enables AI assistants to search anime, manage watchlists, track watch history, get recommendations, and handle account authentication.

Manages a local SQLite music track library with fingerprint-based incremental scanning, multi-condition search, missing analysis completion, and crate management, enabling DJs to organize and retrieve tracks without moving files.

An MCP server that scrapes and transcribes podcast episodes from YouTube or RSS feeds using Deepgram's Nova-2 model. It allows users to track podcasts for new episodes, manage transcripts, and generate personalized summaries through Claude.

Enables control of Spotify playback through OAuth authentication, including play/pause, track navigation, volume control, device management, and searching/playing songs by artist or track name.

Enables control of Spotify playback and management of liked songs through natural language. Supports play/pause controls, track information retrieval, and adding songs to your Spotify library.

A comprehensive MCP server for rekordbox database management with real-time database access, enabling track search, playlist operations, library analytics, and DJ history retrieval.

Connects Claude with Spotify, allowing users to control playback, search for music, get track/artist information, and manage the queue via the Spotify API.

Provides 51 granular tools for Spotify control and data retrieval, optimized for building dynamic HUDs and music interfaces with direct access to individual playback states, track info, device controls, and library management.

Enables Claude to manage Spotify playlists and analyze personal listening history, including account reads, playlist writes, local analytics from data exports, and building playlists from track lists.