seerai: Zotero AI plugin Research assistant for Zotero 10

by dralkh · MCP Server · ★ 86

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

How to install seerai

git clone https://github.com/dralkh/seerai.git

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

Security audit verdict: SAFE · quality 66/100

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.

academic-researchagentaiai-agentbibliographycloud-storageknowledge-managementmcpmcp-servermodel-context-protocol

Quick Facts

Stars86
Forks4
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score66/100
Last Updated2026-10-06
Created2025-12-10
Platformsmcp, node
Est. Tokens~18k

About seerai

seerai seerai is an intelligent research assistant plugin for Zotero 9 that integrates AI-powered chat, advanced search, and data extraction capabilit

Compatible Skills

These tools work well together with seerai for enhanced workflows:

  • open-research-ANA — semantic(0.18)+complementary+rare_topics+same_lang+shared_platform (46%)

seerai alternative? Top 6 similar tools

Looking for a seerai alternative? If you're comparing seerai with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • web-researcher-mcp by zoharbabin · ⭐ 70

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  • research-hub by WenyuChiou · ⭐ 66

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  • pdf-mcp by jztan · ⭐ 157

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  • zoteus by oscardvs · ⭐ 59

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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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