Spotify MCP Server
# spotify-mcp MCP server
[](https://smithery.ai/server/@boristopalov/spotify-mcp)
MCP project to connect Claude with Spotify. Built on top of [spotipy-dev's API](https://github.com/spotipy-dev/spotipy/tree/2.24.0).
## Features
- Start, pause, and skip playback
- Search for tracks/albums/artists/playlists
- Get info about a track/album/artist/playlist
- Manage the Spotify queue
## Demo
Make sure to turn on audio
<details>
<summary>
Video
</summary>
https://github.com/user-attachments/assets/20ee1f92-f3e3-4dfa-b945-ca57bc1e0894
</summary>
</details>
## Configuration
### Getting Spotify API Keys
Create an account on [developer.spotify.com](https://developer.spotify.com/). Navigate to [the dashboard](https://developer.spotify.com/dashboard).
Create an app with redirect_uri as http://localhost:8888. (You can choose any port you want but you must use http and localhost).
I set "APIs used" to "Web Playback SDK".
### Run this project locally
This project is not yet set up for ephemeral environments (e.g. `uvx` usage).
Run this project locally by cloning this repo
```bash
git clone https://github.com/varunneal/spotify-mcp.git
```
Add this tool as a mcp server.
On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`
```json
"spotify": {
"command": "uv",
"args": [
"--directory",
"/path/to/spotify_mcp",
"run",
"spotify-mcp"
],
"env": {
"SPOTIFY_CLIENT_ID": YOUR_CLIENT_ID,
"SPOTIFY_CLIENT_SECRET": YOUR_CLIENT_SECRET,
"SPOTIFY_REDIRECT_URI": "http://localhost:8888"
}
}
```
### Troubleshooting
Please open an issue if you can't get this MCP working. Here are some tips:
1. Make sure `uv` is updated. I recommend version `>=0.54`.
2. Make sure claude has execution permisisons for the project: `chmod -R 755`.
3. Ensure you have Spotify premium (needed for running developer API).
## TODO
Unfortunately, a bunch of cool features have [now been deprecated](https://techcrunch.com/2024/11/27/spotify-cuts-developer-access-to-several-of-its-recommendation-features/)
from the Spotify API. Most new features will be relatively minor or for the health of the project:
- tests.
- adding API support for managing playlists.
- adding API support for paginated search results/playlists/albums.
## Deployment
(todo)
### Building and Publishing
To prepare the package for distribution:
1. Sync dependencies and update lockfile:
```bash
uv sync
```
2. Build package distributions:
```bash
uv build
```
This will create source and wheel distributions in the `dist/` directory.
3. Publish to PyPI:
```bash
uv publish
```
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token: `--token` or `UV_PUBLISH_TOKEN`
- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`
### Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).
You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:
```bash
npx @modelcontextprotocol/inspector uv --directory /Users/varun/Documents/Python/spotify_mcp run spotify-mcp
```
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose with no overlap: GetInfo retrieves metadata, Playback controls active listening, Queue manages upcoming tracks, and Search finds new content. The separation between Playback (current track control) and Queue (future track management) is particularly well-defined.
All tools follow a perfect 'Spotify[Action]' naming pattern with consistent PascalCase throughout. The pattern is immediately recognizable and predictable across all four tools.
Four tools is ideal for this music streaming domain - it covers the essential workflows (discovery, playback control, queue management, and information lookup) without being overwhelming or sparse. Each tool earns its place in the set.
The toolset covers core Spotify functionality well with only minor gaps. Notable missing operations include playlist/library management (saving/removing tracks), volume control, and seeking within tracks, but the provided tools enable basic listening workflows.