setlistify

setlistify

An MCP server that fetches real setlists from setlist.fm and creates Spotify playlists from them, supporting fuzzy matching and various modes like latest show or best-of from recent shows.

Category
Visit Server

README

<div align="center"> <img src="docs/logo.png" alt="setlistify logo" width="120" /> <h1>setlistify</h1> </div>

"Make me a Spotify playlist from Radiohead's last show" → done.

An MCP server that connects setlist.fm and Spotify. Tell Claude which artist and show you want — it fetches the real setlist, matches every track on Spotify, and creates the playlist.

Works with Claude Code and Claude Desktop.


Example

You:    Create a playlist from Metallica's most recent show.

Claude: Created "Metallica — Live Setlist (09-01-2024)"
        Setlist from Estadi Olímpic Lluís Companys, Barcelona — 09-01-2024.
        21/22 tracks matched.
        → https://open.spotify.com/playlist/...
You:    Which songs does The National always play live vs. their rarities?

Claude: Always played (last 10 shows): Bloodbuzz Ohio, Terrible Love, Mr. November
        Rarities (played once): Sorrow, Available, Green Gloves
        Never played live: 34 studio tracks

What it does

  • Fetches real setlists from setlist.fm for any artist
  • Searches Spotify for each track with fuzzy matching for live variants
  • Creates a Spotify playlist and returns the URL
  • mode="latest" — most recent show
  • mode="best-of" — aggregates last N shows, ranks by play frequency
  • Diffs live setlists against full studio discography (always played / never played / rarities)

Tools

get_setlists(artist, year?, city?, limit?)

Browse recent setlists before creating a playlist.

create_playlist_from_setlist(artist, year?, venue?, city?, mode?)

Create a Spotify playlist from a setlist. Returns playlist URL, matched/unmatched track counts.

diff_setlist_vs_discography(artist)

Compare last 10 setlists against full Spotify discography.


Installation

Prerequisites

1. Clone and install

git clone https://github.com/emarkou/setlistify.git
cd setlistify
python3.11 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

2. Configure credentials

cp .env.example .env

Edit .env:

SETLISTFM_API_KEY=your_setlistfm_key
SPOTIFY_CLIENT_ID=your_spotify_client_id
SPOTIFY_CLIENT_SECRET=your_spotify_client_secret
SPOTIFY_REDIRECT_URI=http://localhost:8888/callback

setlist.fm: Register at https://www.setlist.fm/settings/api, copy the API key.

Spotify:

  1. Go to https://developer.spotify.com/dashboard
  2. Create an app → select Web API
  3. Add http://localhost:8888/callback as a Redirect URI
  4. Copy Client ID and Client Secret

3. Register with Claude Code

claude mcp add setlistify \
  /path/to/setlistify/.venv/bin/python \
  -- /path/to/setlistify/server.py

Or add to ~/.claude/mcp.json:

{
  "mcpServers": {
    "setlistify": {
      "command": "/path/to/setlistify/.venv/bin/python",
      "args": ["/path/to/setlistify/server.py"]
    }
  }
}

4. Register with Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "setlistify": {
      "command": "/path/to/setlistify/.venv/bin/python",
      "args": ["/path/to/setlistify/server.py"],
      "env": {
        "SETLISTFM_API_KEY": "your_key",
        "SPOTIFY_CLIENT_ID": "your_client_id",
        "SPOTIFY_CLIENT_SECRET": "your_client_secret",
        "SPOTIFY_REDIRECT_URI": "http://localhost:8888/callback"
      }
    }
  }
}

5. First run — Spotify OAuth

On first use a browser window opens for Spotify authorisation. Log in and allow access. Token is cached locally in .cache and reused automatically.

If auth expires, delete .cache and retry.


Test without Claude

npx @modelcontextprotocol/inspector \
  /path/to/setlistify/.venv/bin/python \
  /path/to/setlistify/server.py

Opens a browser UI at http://localhost:6274 to call tools interactively.


Project structure

setlistify/
├── server.py       # MCP server and tool definitions
├── setlistfm.py    # setlist.fm API client
├── spotify.py      # Spotify/spotipy wrapper
├── matching.py     # Fuzzy track title matching
├── requirements.txt
├── .env.example
└── LICENSE

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured