mcp-zotero
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- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to search, access, and interact with your Zotero research library, including semantic search, metadata retrieval, PDF annotations, and library management.MIT
- AlicenseBqualityFmaintenanceAllows AI to interact with your Zotero library.572 npm164MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to search and retrieve metadata, abstracts, and notes from a user's Zotero library through tools like search, get item, and list collections.-
- AlicenseAqualityDmaintenanceEnables LLM-powered tools to interact with Zotero academic libraries, including searching papers, adding arXiv papers, updating metadata, and generating literature reviews.101MIT
- FlicenseBqualityDmaintenanceEnables AI assistants to search, cite, and manage research references directly from a Zotero library.97-
- AlicenseNot gradedqualityDmaintenanceEnables semantic search and management of Zotero reference libraries using PostgreSQL with pg-vector and OpenAI/Ollama embeddings. Provides AI-powered search, full-text extraction, metadata access, annotations, notes, tags, and collections management.3MIT
TDQS
Scored across 38 tools
Each tool has a clear, distinct purpose. Operations for items, collections, tags, and saved searches are all separated, with no overlapping functionality.
All tool names follow a consistent verb_noun pattern in snake_case, such as add_item, list_collections, delete_tag, etc. No mixing of conventions.
38 tools is on the higher side but justified by the breadth of Zotero's API. Each tool serves a specific function, so the count, while large, is not excessive for a full-featured reference manager integration.
The tool set covers nearly all essential operations: full CRUD for items and collections, tag management, file attachments, saved searches, and metadata queries. No obvious gaps in core reference management workflows.