Bulk Spotify operations with confidence scoring - batch playlist creation, library exports, and human-in-the-loop review for uncertain matches. Perfect for importing podcast song lists.
Overview
What is Spotify Bulk Actions MCP?
Spotify Bulk Actions MCP is a Model Context Protocol server designed for bulk operations on Spotify, including batch playlist creation, library exports, and human-in-the-loop review for uncertain matches. It is particularly useful for importing song lists from podcast show notes.
How to use Spotify Bulk Actions MCP?
To use the server, clone the repository from GitHub, set up a Python virtual environment, install the required dependencies, and authenticate with your Spotify account. You can then utilize various tools for library analysis and playlist management.
Key features of Spotify Bulk Actions MCP?
- Confidence scoring for batch searches (HIGH/MEDIUM/LOW)
- Human-in-the-loop review for uncertain matches
- Efficient handling of bulk operations (500+ songs)
- Complete library exports
- Focused on podcast playlist imports
Use cases of Spotify Bulk Actions MCP?
- Creating playlists from CSV files for podcasts.
- Analyzing music libraries to find unique artists and albums.
- Managing large-scale library operations efficiently.
FAQ from Spotify Bulk Actions MCP?
- Can I use this for any Spotify account?
Yes, as long as you have Spotify Developer credentials. - Is there a limit to the number of songs I can process?
The server can handle libraries up to 10,000 songs efficiently. - What happens if I encounter rate limits?
The server automatically manages rate limits and retries requests as needed.