LyricsGenius MCP Server

LyricsGenius MCP Server

An MCP server that enables searching Genius.com for artists, songs, and albums, retrieving song lyrics, and exploring artist discographies through natural language.

Category
Visit Server

README

LyricsGenius MCP Server

A Model Context Protocol (MCP) server for accessing song lyrics and artist information from Genius.com via the LyricsGenius library.

Features

  • Search for artists and songs on Genius.com
  • Get detailed information about artists
  • Retrieve song lyrics
  • Get artist albums and top songs
  • Get album tracks
  • Search across different content types (songs, artists, albums, etc.)

Requirements

  • Python 3.8+
  • LyricsGenius API token (get one from https://genius.com/api-clients)

Installation

  1. Clone this repository

    git clone <repository-url>
cd lyricsgenius-mcp

  2. Create a virtual environment

    uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

  3. Install dependencies

    uv pip install -r requirements.txt

  4. Set up your Genius API token

    • Create a copy of .env and rename it to .env
    • Replace your_token_here with your actual Genius API token

Usage

Running the server directly

python server.py

Installing in Claude Desktop

mcp install server.py

Running with MCP development tools

mcp dev server.py

Server Capabilities

Tools

  • search(query, search_type=None, per_page=10, page=1) - Search Genius for artists, songs, albums or other content
  • get_lyrics(title, artist=None) - Get lyrics for a song directly
  • get_artist_songs(artist_identifier, per_page=20, sort="popularity") - Get songs by an artist
  • get_artist_albums(artist_identifier) - Get albums by an artist
  • get_album_tracks(album_identifier) - Get tracks from an album by its ID or name

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
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

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