"spotify" matching MCP servers:

An integration that allows Claude Desktop to interact with Spotify, enabling users to control playback, search music, manage playlists, and get recommendations through natural language commands.

Enables LLM clients to control Spotify and access user data through the Spotify Web API, including search, playback, playlists, and listening history. Each caller supplies their own credentials per request, so one instance can serve many users without storing any credentials.

A personal MCP server that analyzes your Spotify streaming history locally, enabling queries, artist insights, and recommendations using a local SQLite database.

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).

Local music video toolkit: BPM, key and Camelot detection, best 15/30 s clip, beat-synced shot lists, Spotify Canvas maker and platform specs. Runs on your machine with ffmpeg, no API key.

Search your data exports from Google, Telegram, Spotify, and Instagram in one place. Everything runs on your own computer. Hybrid search and MCP, built in .NET 10

The ultimate 66-tool Apple Music MCP server for macOS: playback, Spotify playlist importer, listening journal, Replay reports, smart DJ crossfades, and AirPlay.

Lists the podcast episodes you've heard on Spotify (fully played or past a progress threshold) from the shows you follow. Feeds a Claude Code pipeline that turns them into a cross-episode LLM wiki.

High-efficiency Apple Music MCP Server featuring a dual-engine architecture (macOS Native JXA + Cloud REST API), cross-platform chart discovery (Shazam,Spotify, YouTube), async parallel batch additions, pure-audio enforcement, and zero-timeout execution.

Enables AI assistants to query Spotify for what is currently playing and to search tracks, albums, artists and playlists, with optional opt-in play/pause control. It authenticates via OAuth PKCE without a client secret, requesting least-privilege scopes and keeping tokens locally outside the repository.

Real-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam, Spotify, X (Twitter), App Store, Google Play, web traffic, and news sentiment via one MCP connection. Works with Claude, Cursor, VS Code, Windsurf, ChatGPT, and any MCP-compatible AI.