playlist-agent
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@playlist-agentgenerate a playlist for a road trip"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Playlist MCP Agent
Create, manage, and optimize Spotify playlists through natural language using AI and MCP.
Prerequisites
Python 3.12+
Spotify Developer app
Create an app at https://developer.spotify.com/dashboard
Copy the Client ID and Client Secret
Add redirect URI:
http://127.0.0.1:8888/callbackAdd your Spotify account under User Management (required for write operations in Development Mode)
Related MCP server: spotify-mcp
Setup
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev,llm]"
cp .env.example .env
# Edit .env with your Spotify credentialsAuthenticate with Spotify
Run once to save a refresh token locally:
python authenticate.pyTokens are stored at:
~/.playlist_agent/tokens.jsonRun the MCP Server
Streamable HTTP (Recommended)
python server.py --httpServer URL:
http://127.0.0.1:8080/mcpStdio Mode (Claude Desktop)
python server.py --stdioConnect to Claude Desktop
Edit:
~/Library/Application Support/Claude/claude_desktop_config.jsonAdd:
{
"mcpServers": {
"playlistAgent": {
"command": "/absolute/path/to/.venv/bin/python",
"args": [
"/absolute/path/to/server.py",
"--stdio"
]
}
}
}Example:
{
"mcpServers": {
"playlistAgent": {
"command": "/Users/amankumar/Documents/projects/playlistAgent/.venv/bin/python",
"args": [
"/Users/amankumar/Documents/projects/playlistAgent/server.py",
"--stdio"
]
}
}
}Restart Claude Desktop after updating the configuration.
Verify Claude Connection
Check logs:
~/Library/Logs/Claude/Successful startup should show:
Server started and connected successfullyConnect to Cursor
Add an MCP server with:
Type: MCP (Streamable HTTP)
URL:
http://127.0.0.1:8080/mcp
Example Cursor config:
{
"mcpServers": {
"playlist-agent": {
"url": "http://127.0.0.1:8080/mcp"
}
}
}MCP Tools
Tool | Description |
spotify_login | Check Spotify auth status |
search_track | Search Spotify tracks |
create_playlist | Create a new playlist |
add_tracks | Add tracks to a playlist |
get_playlist | Fetch playlist metadata and tracks |
generate_playlist | Generate a playlist from a natural-language prompt |
remove_tracks | Remove tracks from a playlist |
modify_playlist | Edit a playlist using natural language |
analyze_playlist | Analyze mood, energy, and diversity |
recommend_tracks | Recommend tracks based on a playlist |
optimize_playlist | Improve a playlist for energy, calm, or diversity |
Smoke Test (Phase 1)
After authenticating:
python smoke_test.pyTests
pytestIntegration tests:
RUN_INTEGRATION=1 pytest -m integrationRequires a valid Spotify authentication setup.
Environment Variables
See .env.example for all supported options.
LLM generation (Phase 3+) requires:
LLM_PROVIDER=openaior
LLM_PROVIDER=anthropicand the corresponding API key.
Architecture
Claude / Cursor / ChatGPT
│
▼
PlaylistAgent MCP
│
┌───────┼────────┐
▼ ▼ ▼
Spotify LLM Recommendation
API Provider EngineRoadmap
Phase 1
Spotify OAuth
Search tracks
Create playlists
Add tracks
Phase 2
MCP integration
Claude Desktop support
Cursor support
Phase 3
AI playlist generation
Mood and genre understanding
Phase 4
Playlist editing
Playlist optimization
Recommendation engine
Phase 5
Taste profile engine
Personalized playlist memory
Advanced music discovery
This server cannot be deployed
Maintenance
Related MCP Connectors
Manage Superlist tasks and lists in plain language from any MCP-compatible AI agent.
Generate AI music via the Lacuna Music API from MCP clients like Claude Desktop & Code.
YouTube transcripts, search, channel browsing, and playlists for AI agents via MCP.
Create, inspect, and manage Wubble music, speech, voice, and sound-effect requests through MCP.
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