mcp-bookbrainz
Click on "Install 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., "@mcp-bookbrainzsearch for works by J.R.R. Tolkien"
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.
@pipeworx/bookbrainz
BookBrainz MCP — open book metadata database run by the MetaBrainz Foundation (sister project to MusicBrainz). No auth.
Part of Pipeworx — an MCP gateway connecting AI agents to 1394+ live data sources.
Tools
search(query, type, limit?, offset?)— search any entity type: work / edition / author / publisher / series / edition-grouplookup(type, bbid, includes?)— fetch a single entity by BookBrainz UUIDbrowse(type, ...)— list works/editions/authors filtered by relationships
Related MCP server: MusicBrainz MCP Server
Data source
https://api.bookbrainz.org/ — public REST + JSON. Coverage is much smaller than Open Library or Google Books but it's the canonical home for open editions / works for Wikidata-style data modeling.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"bookbrainz": {
"url": "https://gateway.pipeworx.io/bookbrainz/mcp"
}
}
}Or connect to the full Pipeworx gateway for access to all 1394+ data sources:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English:
ask_pipeworx({ question: "your question about Bookbrainz data" })The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
This server cannot be installed
Maintenance
Resources
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If you are the server author, to access and configure the admin panel.
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Related MCP Connectors
Search books and authors, fetch editions, browse subjects, and resolve cover images.
Search MusicBrainz artists, releases, works, labels; resolve ISRC/ISWC/barcode; fetch cover art.
Search and fetch Wikidata entities, execute SPARQL queries, and resolve external identifiers.
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