papersgpt-for-zotero MCP Server
papersgpt/papersgpt-for-zotero
[](https://agentrank-ai.com/tool/papersgpt--papersgpt-for-zotero/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) A powerful Zotero AI and MCP plugin with ChatGPT, Gemini 3.7, Claude Fable 5, Claude Opus 5, DeepSeek V4, Grok, OpenRouter, Kimi k3, GLM 5.3, SiliconFlow, GPT-oss, Gemma 4, Qwen 3.8
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
papersgpt/papersgpt-for-zotero is a JavaScript tool licensed under AGPL-3.0. A powerful Zotero AI and MCP plugin with ChatGPT, Gemini 3.7, Claude Fable 5, Claude Opus 5, DeepSeek V4, Grok, OpenRouter, Kimi k3, GLM 5.3, SiliconFlow, GPT-oss, Gemma 4, Qwen 3.8 Topics: zotero, mistral, claude, chatgpt, llama, ai, chat, pdf, deepseek, gemini, gpt-5, gpt-oss, openrouter, mcp, deepresearch, gemma4, claude-fable-5, kimi-k3, deepseek-v4-pro, glm-5-3.
Ranked #3988 out of 24846 indexed tools.
Has 2,667 GitHub stars.
Ecosystem
Score Breakdown
2,667 stars → well-known project
Last commit 28d ago → recently updated
36/112 issues closed → many open issues
6 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
# PapersGPT ## Industrial-Scale Multi-Document Intelligence for Zotero. 100% Local. Zero Hallucinations. **PapersGPT** is a professional-grade Zotero extension engineered in Native C++ to transform thousands of isolated PDFs into a single, high-precision knowledge engine. While standard tools struggle with single-file chat or slow, "fuzzy" embeddings, PapersGPT delivers instant, cross-document synthesis and global library search with absolute data sovereignty. --- ## ⚡ Extreme Performance: Built for "Big Data" Researchers Stop waiting for embedding progress bars. Most AI tools use Python/JS scripts that lag or crash as your library grows. PapersGPT is built to handle professional-scale research. It turns massive document silos into instant knowledge bases. Whether you have 100 or 10,000+ PDFs, the experience remains lightning-fast. **PapersGPT’s Enterprise-Grade Performance:** * **Massive Throughput:** 10,000 PDFs (170k pages) totaling **42GB** indexed in just **7 minutes**. *Read full README on GitHub →
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