This Zotero MCP connector, developed by Samuel Gyger, integrates local Zotero libraries with Claude's Desktop interface. It utilizes the pyzotero library and Zotero 7's local web API to provide direct read access to users' research collections. The connector offers functions for listing collections, retrieving item details, searching the library, and fetching recent additions. Built with Python 3.10+ and the FastMCP framework, it stands out by focusing on local Zotero installations rather than cloud-based alternatives. This implementation is particularly useful for researchers and academics who want to leverage AI assistance in exploring and analyzing their personal Zotero libraries, enabling natural language interactions with their collected literature and notes.
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Highlight AILists properties about your library including collections, recent items or tags.
Get all items in a specific collection. Parameters: collection_key (string)
Get detailed information about specific paper(s), including abstract. Parameters: item_key (string)
Search your Zotero library. Parameters: query (string), mode (string) - modes: everything or titleCreatorYear.
