Genius MCP for AI. Get lyrics, artist data, and deep annotations instantly.
Works with every AI agent you already use
…and any MCP-compatible client








Connect to your AI in seconds.
Genius MCP connects your agent to a massive lyrics database, letting you search songs by title or artist and instantly retrieve full lyrics, album tracklists, artist profiles, and deep community annotations.
Stop bouncing between sites; get all the music knowledge in one chat.
What your AI can do
Get album
Gets the name, artist, cover art, release date, and full track list for a specific album ID.
Get annotation
Fetches detailed explanations from community members about a specific lyric fragment.
Get artist
Returns the artist's name, profile image, description, and unique IQ score.
You can search for songs using titles, keywords, or artist names.
Retrieves a song's complete information, including lyrics in plain text and HTML format.
Pulls detailed artist bios alongside their Genius page URL and IQ score.
Gets an album's full name, cover art, release date, and every track included.
Reads community explanations for specific lines of lyrics, detailing meaning and references.
Ask an AI about this
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Genius: 7 Tools for Music Data Retrieval
These tools allow you to pull highly specific music metadata like track lists, detailed explanations, or full song lyrics when general chat isn't enough.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Genius on VinkiusGet Album
Gets the name, artist, cover art, release date, and full track list for a specific album ID.
Get Annotation
Fetches detailed explanations from community members about a specific lyric fragment.
Get Artist
Returns the artist's name, profile image, description, and unique IQ score.
Get Artist Songs
Retrieves a paginated list of song titles and pageview counts for an entire artist...
Get Song
Delivers all detailed info about one song, including lyrics in both plain text and...
Get Song Annotations
Gathers community explanations for specific lyric fragments from a known song ID.
Search Songs
Searches the database by title, lyrics, or artist name, returning preliminary results and IDs to narrow down your query.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Genius, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Genius. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 7 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The Old Way: Jumping Between Sites for Basic Song Info
Right now, finding out what a song means is a mess of tabs. You start on one site to get the lyrics, then you have to copy that text and paste it into another resource just to find annotations or explanations. Then you open a third tab to check who produced the track—it's tedious, slow, and easy to lose key context.
With this MCP connected via Vinkius, all those steps vanish. You talk to your agent once, ask for the song details, and it automatically gathers the lyrics, the artist profile, and even community annotations into one clean response.
Accessing Music Data with get_song
Before this MCP, getting comprehensive data meant a multi-step process: finding the song ID, then running separate queries for lyrics and producer info. You often missed metadata like the album name or release date.
Now you just ask your agent to get the song. It handles all the background calls—it delivers the full plain text lyrics *plus* the artist, album, producers, and exact release date in a single chunk of data.
What your AI can actually do with this
Need to know the meaning behind a lyric? Or maybe you just need to check what tracks an artist released on their last album? This MCP gives your agent direct access to the world's largest lyrics database, letting you pull structured music metadata through natural conversation. Instead of manually searching song titles and then jumping over to different sites for annotations or artist bios, you ask your agent, and it gets you everything.
You can search millions of songs by keywords, grab complete lyrical text, see who produced the track, and even read community-written explanations detailing wordplay or historical references in those lyrics. This connection makes complex research tasks—like analyzing a decade's worth of artist output—simple to manage within your workflow through Vinkius.
019d843f-492c-7235-9fa4-2ce839e843d7 Here's how it actually works
The bottom line is that once it's connected, your agent treats the vast Genius database like a simple function call.
First, subscribe to this MCP in Vinkius and enter your free Genius Access Token.
Next, give a natural language command to your agent—for example, 'Show me the lyrics for Bohemian Rhapsody.'
Your agent uses the tools to find the song details, pulls the full text, and delivers all the required metadata back to you.
Who is this actually for?
Music journalists who need deep context on lyrics; academic researchers studying culture or poetry; and content creators needing accurate metadata for projects. If you work with music data, this is for you.
You use this to quickly pull artist details using get_artist and then cross-reference song context by calling get_song_annotations to write background pieces.
You analyze lyrical data over time, starting with search_songs to build a list, and then use get_album to map the chronological context of an artist's work.
When making a video or article about music, you pull accurate song info and album details using get_song and get_album so your content is precise.
What Changes When You Connect
You don't have to guess what songs exist. Use search_songs to find titles by keyword or artist name first, giving you the necessary IDs before calling get_song.
Instead of just reading the lyrics, you can use get_song_annotations and get_annotation to understand why a line is significant—it pulls in community explanations for wordplay and references.
Track an entire career easily. Call get_artist_songs to see every song by an artist, then use get_album on the results to map out their full discography year by year.
Stop getting just plain text lyrics. The get_song tool provides rich data points like album name, release date, and producer info alongside the verses.
When you need a quick bio, calling get_artist gives you more than just a name—you get the artist's profile image and description instantly.
See it in action
Writing an article about lyrical themes
A music journalist needs to write about a specific poetic device in a track. They start by running search_songs, find the song ID, and then use get_song_annotations to gather multiple expert explanations for key phrases before writing.
Building an artist timeline
A researcher wants to document an album's full scope. They first use search_songs to find the song, then use get_album on that result. This gives them not only the track list but also the official release date and cover art.
Quickly checking music trivia
A user is in a chat and needs background info on a song they just heard. They ask for the song, which triggers get_song. The agent returns lyrics alongside crucial metadata like the producer and release date instantly.
Analyzing an artist's entire output
A user wants to map out a career. They use search_songs to get a list of songs, then run get_artist_songs using that ID, giving them the full scope of work before drilling down into specific album details.
The honest tradeoffs
Asking for all data in one go
A user asks: 'Tell me everything about Queen's Bohemian Rhapsody.' The agent can't know which pieces of data you prioritize.
Forgetting to search first
Calling get_song without a specific song ID. The tool requires an existing identifier, so the request fails immediately.
Missing context data
Just getting lyrics is insufficient; you need to know if those lyrics are from the single or the album's deeper cut.
Always start by using search_songs. It gives you the necessary IDs and preliminary info needed before you can use get_song, get_artist, or any of the more specific tools.
When It Fits, When It Doesn't
Use this MCP if your primary task involves retrieving highly structured music metadata: lyrics, album tracklists, producer names, or scholarly annotations. It's perfect for academic research or content creation where accuracy matters.
Don't use it if you just need general chat help or basic definitions. If you only need to know what a word means without context, don't bother calling get_annotation; just ask your agent directly in plain language. This MCP is about structured data retrieval, not unstructured conversation.
Questions you might have
How do I find songs using search_songs? +
You tell your agent what you're looking for by title, artist, or keyword. The tool returns preliminary results and IDs that you then use to get detailed info with get_song.
What does get_annotation do? +
This tool fetches community-written explanations for specific lines of lyrics. You must provide the annotation ID from a previous search result to read these details.
Can I see all songs by an artist using get_artist_songs? +
Yes, calling get_artist_songs returns a paginated list of song titles and pageview counts for the entire catalog. You can use the page parameter to navigate through results.
What is required to run get_album? +
You need an existing album ID, which you typically get from running search_songs or getting full song details via get_song. This allows retrieval of the track list and art.
If I use `search_songs`, how do I get the necessary IDs for detailed lookups? +
The initial search results contain enough information to proceed. Each result from search_songs includes a unique song ID, which you must pass to tools like get_song or get_song_annotations to retrieve full details.
What specific data does the `get_artist` tool return? +
It returns more than just the name; you get the artist's IQ score, profile image URL, a brief description, and their Genius page link. This is useful for quickly building out basic artist bios.
Does `get_song_annotations` provide only short explanations or more detailed context? +
It provides rich detail. When you use get_song_annotations, you get the annotated lyric fragments along with full explanation text, author information, and vote counts for community-written insights.
When I call `get_song` using a song ID, what kind of metadata do I receive? +
You get comprehensive data points about the track. This includes the full title, artist, album details, release date, producer information, and—most importantly—the complete lyrics in both plain text and HTML formats.
How do I get a Genius access token? +
Register at genius.com/api-clients and create an API client. You'll get an access token immediately. It's free.
Can I get full lyrics for songs? +
Yes! The get_song endpoint returns full lyrics in plain text and HTML formats. Annotations provide explanations of specific lyric fragments.
What are annotations? +
Annotations are community-written explanations of specific lyric fragments. They explain references, wordplay, cultural context, biographical details and the meaning behind the lyrics. Each annotation has vote counts showing community approval.
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