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Project description
lyric-fetch-mcp
A small MCP (Model Context Protocol) server that fetches song lyrics and artist/album song lists using the Genius API via lyricsgenius and exposes them as FastMCP tools.
Overview ✅
- Purpose: Provide simple, reusable tools for retrieving song lyrics and lists of songs by artist/album for LLMs or other tooling that can call MCP tools.
- Tools exposed:
get_song_lyrics(song_title, artist_name),get_artist_songs(artist_name, max_songs=5),get_album_songs(album_title, artist_name) - Server framework: Uses
fastmcpto register the tools and run the MCP server.
Installation (after publishing to uv) 🔧
Once you publish this package to a registry that uv can reach (e.g., PyPI or a private index), users can install and run it locally with uv:
-
Install the published package:
uv add lyric-fetch-mcp
-
Run the installed tool directly (ephemeral environment):
GENIUS_ACCESS_TOKEN="<your_token>" uvx lyric-fetch-mcp
-
Or add it as a dependency to your
uvproject and run:uv add lyric-fetch-mcpuv run -- lyric-fetch-mcp
Note:
uvxruns a tool in an ephemeral environment created byuv(similar topipx).
Running locally (developer)
-
One-off run with an env var:
GENIUS_ACCESS_TOKEN="your_token_here" python -m lyric_fetch_mcp.server
-
Install locally for development and run the script:
python -m pip install -e .lyric-fetch-mcp(after install)
Environment
- Requires a valid
GENIUS_ACCESS_TOKENenvironment variable. - For production/CI, store the token in your CI/host secret manager (GitHub Secrets, Docker secrets, etc.).
CLI examples
-
Fetch lyrics quickly from the shell (one-line):
GENIUS_ACCESS_TOKEN="your_token" python -c 'from lyric_fetch_mcp.server import get_song_lyrics; print(get_song_lyrics("Sofia","Clairo"))'
Contributing & Publishing
- The project uses
uv_buildas the PEP 517 backend — build withuv buildand publish withuv publish. - Please follow the repository's contribution guidelines and add tests for any new behavior.
License
- MIT — see
LICENSEfor details.
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