Zotero
This MCP server, developed by an unknown author, provides integration with the Zotero reference management system. Built with Python and leveraging the pyzotero library, it offers tools for searching Zotero libraries, retrieving item metadata, and accessing full-text content. The implementation focuses on providing a bridge between AI agents and scholarly research data, with features like formatted metadata output and attachment handling. It's particularly useful for researchers, students, and knowledge workers looking to incorporate their Zotero libraries into AI-assisted workflows, enabling use cases such as literature review automation, citation management, and content summarization without directly interacting with the Zotero API.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/kujenga/zotero-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Zotero from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.