Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
A MCP server for the Open Library API that enables AI assistants to search for book information.
MCP server to interact with the Discogs API
Quality signal
37/100 (Emerging)
39/100 (Emerging)
Install path
npx · high
npx · high
Engagement
5 0 0 88
1 0 0 118
Tools
Book search by titleAuthor search by nameGet detailed author info by keyRetrieve author photo URL by OLIDGet book cover image URL by multiple ID typesFetch book details by various identifiers
Supports Discogs API endpoints for catalog and collectionEnables editing of personal Discogs collection dataConfigurable pagination with default page size of 5Runs locally with Node.js or in Docker containersIncludes MCP Inspector for interactive testing