Zotero MCP Server
Access research libraries to summarize papers, search citations, and manage collections.
Data last scanned today · Reviewed today
Overview
The Zotero MCP Server integrates your Zotero research database directly into AI assistants like Claude and ChatGPT. It supports advanced features such as vector-based semantic search across your library, enabling conceptual discovery through various embedding models like OpenAI, Gemini, or local alternatives. Users can retrieve detailed metadata in Markdown or BibTeX formats and extract PDF annotations alongside table of contents data for streamlined analysis. Beyond reading, the tool facilitates write operations including adding new papers via DOI, URL, or local file upload, as well as managing collections and updating item tags. It is designed to work with various clients like Cursor, Cherry Studio, and Chorus, providing a centralized interface for research workflows.
Our verdict
This project holds a security score of 53/100, indicating a high-risk profile that requires user caution. The score reflects that the server is community-maintained rather than vendor-backed, and critical security aspects—specifically the implementation of OAuth and read-only mode—have not yet been editorially reviewed. Given these unverified security mechanisms, it is best suited for power users who are comfortable managing local research data in a non-enterprise environment.
- Zero direct dependencies minimizes supply-chain surface area
- Active maintenance with recent commits
- Strong community engagement with 67 contributors
- Broad compatibility with multiple AI assistant platforms
- OAuth and read-only modes lack security verification
- Community-maintained status lacks formal vendor oversight
Compatibility
No compatibility data yet.
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