No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by kujenga · MCP Server · ★ 162
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is zotero-mcp safe to install? View the security audit →
Model Context Protocol server for Zotero This project is a python server that implements the Model Context Protocol (MCP) for Zotero, giving you access to your Zotero library within AI assistants. It is intended to implement a small but maximally useful set of interactions with Zotero for use with MCP clients. Features This MCP server provides the following tools: : Search for items in your Zotero library using a text query : Get detailed metadata information about a specific Zotero item : Get the full text of a specific Zotero item (i.e. PDF contents) These can be discovered and accessed through any MCP client or through the MCP Inspector. Each tool returns formatted text containing relevant information from your Zotero items, and AI assistants such as Claude can use them sequentially, searching for items then retrie
| Stars | 162 |
| Forks | 26 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.9038189078353/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-07 |
| Created | 2025-01-26 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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zotero-mcp is Lightweight Model Context Protocol (MCP) server for the Zotero API, in Python. It is categorized as a MCP Server with 162 GitHub stars.
zotero-mcp is primarily written in Python. It covers topics such as mcp, mcp-server, zotero.
You can find installation instructions and usage details in the zotero-mcp GitHub repository at github.com/kujenga/zotero-mcp. The project has 162 stars and 26 forks, indicating an active community.
zotero-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to zotero-mcp on Agent Skills Hub include cli-anything-zotero, seerai, research-hub. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: