papersgpt-for-zotero: Professional AI research tool for Zotero: chat with PDFs, whole-library search, Literature Radar, AutoPilot

by papersgpt · MCP Server · ★ 2.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install papersgpt-for-zotero

git clone https://github.com/papersgpt/papersgpt-for-zotero.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 64/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars2,693
Forks97
LanguageJavaScript
CategoryMCP Server
LicenseAGPL-3.0
Quality Score64/100
Open Issues77
Last Updated2026-11-03
Created2024-11-22
Platformsclaude-code, gemini, mcp, node
Est. Tokens~15k

About papersgpt-for-zotero

PapersGPT: The Ultimate Zotero AI Plugin 🚀 Introducing PapersGPT AutoPilot (Zotero AI Agent) We are thrilled to release AutoPilot, a powerful automation tool that transforms PapersGPT into a fully autonomous research assistant. Say goodbye to manual skimming and hello to effortless literature review. 🛠️ How it Works Setup: Select your preferred LLM in PapersGPT.

Compatible Skills

These tools work well together with papersgpt-for-zotero for enhanced workflows:

  • nodetool — semantic(0.21)+complementary+rare_topics+similar_pop+shared_platform (56%)
  • dialoqbase — semantic(0.25)+complementary+rare_topics+similar_pop+shared_platform (53%)
  • ruby_llm — semantic(0.19)+complementary+rare_topics+similar_pop+shared_platform (51%)
  • unsaged — semantic(0.24)+complementary+rare_topics+similar_pop+shared_platform (48%)
  • awesome-ChatGPT-repositories — semantic(0.24)+complementary+rare_topics+similar_pop (48%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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