zotero-mcp
If you are the rightful owner of zotero-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcpreview.com.
Zotero MCP connects your Zotero research library with AI assistants like Claude, enabling seamless interaction with your research materials.
Zotero MCP is a tool that integrates the Zotero research library with AI assistants such as Claude, Cherry Studio, and Cursor through the Model Context Protocol (MCP). This integration allows users to search their library, access content, work with annotations, and utilize flexible access methods. Zotero MCP supports both local and web API access, making it suitable for offline and remote research collaboration. The tool provides advanced features like PDF annotation extraction and supports various installation methods, including Smithery, uv, and pip. It requires Python 3.10+ and Zotero 7+ for full functionality.
Features
- Search Your Library: Find papers, articles, and books by title, author, or content with complex search capabilities.
- Access Your Content: Retrieve detailed metadata, full text content, and access attachments, notes, and child items.
- Work with Annotations: Extract and search PDF annotations, access Zotero's native annotations, and create/update notes.
- Flexible Access Methods: Offers local and web API access for both offline and remote collaboration.
- PDF Annotation Extraction: Advanced capabilities for extracting and searching PDF annotations, including image support.