by papersgpt
Professional AI research tool for Zotero: chat with PDFs, whole-library search, Literature Radar, AutoPilot. 30+ LLMs or local models; built-in MCP server.
# Add to your Claude Code skills
git clone https://github.com/papersgpt/papersgpt-for-zoteroGuides for using mcp servers skills like papersgpt-for-zotero.
Last scanned: 10/23/2026
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papersgpt-for-zotero is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by papersgpt. Professional AI research tool for Zotero: chat with PDFs, whole-library search, Literature Radar, AutoPilot. 30+ LLMs or local models; built-in MCP server. It has 2,678 GitHub stars.
Yes. papersgpt-for-zotero passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/papersgpt/papersgpt-for-zotero" and add it to your Claude Code skills directory (see the Installation section above).
papersgpt-for-zotero is primarily written in JavaScript. It is open-source under papersgpt on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh papersgpt-for-zotero against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
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Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
PapersGPT is a professional AI research tool for Zotero, built for deep research across your entire library. More than chatting with a single PDF — go one step beyond: ask questions across your entire library, discover and track new research with Literature Radar, compare multiple papers side-by-side, and let AutoPilot batch-read collections overnight, with structured results saved directly into Zotero Notes.
It supports 30+ cloud LLMs (GPT-6, Claude 5.5, Gemini 4, DeepSeek v4.1, Grok…), built-in local models that run fully offline, or your own API key. Quick to start: a built-in trial of cloud AI chats — no API key needed.
| What it is | Professional AI research agent and plugin for Zotero — deep-research your library: chat with PDFs, whole-library search, discover and track new papers |
| LLM support | 30+ cloud models (GPT-6, Claude 5.5, Gemini 4, DeepSeek v4.1, Grok, GLM 5.3, Kimi k3…) · built-in local models · Ollama · custom OpenAI-compatible APIs |
| Privacy | 100% local parsing, indexing and search; local LLMs run fully offline — your data never leaves your machine |
| Scale (tested) | 10,000 PDFs (42 GB, 170k pages) indexed in ~7 minutes; 19.5 ms average query time — benchmark details |
| Integrations | Zotero MCP Server (Claude Desktop, Claude Code, Cursor, ChatGPT desktop…) · Ollama · Agent SKILL |
| Compatibility | Zotero 7, 8, 9, 10 · macOS, Windows, Linux |
| License | AGPL-3.0 open source |
PapersGPT indexes your entire Zotero library (thousands of PDFs). Just ask in natural language and get answers based on all your papers — not just the one you have open. Works at 10,000+ paper scale, and pairs well with multi-PDF chat for cross-paper analysis.
Subscribe to your research topics and Literature Radar monitors arXiv, PubMed, Semantic Scholar, Europe PMC, Crossref, bioRxiv, medRxiv for you. New papers arrive as a daily digest inside Zotero, visualized against your existing collections — new research finds you, instead of you chasing databases. Queries go straight from your machine to the source APIs, with no relay server.
Beyond chatting with a single PDF, you can chat with multiple PDFs at once: select several papers or an entire collection and compare methods, results and controversies side-by-side. Synthesize the cross-paper results into structured drafts or Zotero notes.
“Compare the sample sizes and p-values of all 50 clinical trials in my 'Cardiology' folder.”
Set your research question once and AutoPilot autonomously reads the whole collection, extracting hypotheses, methods and findings into structured Zotero Notes while you sleep. Works with cloud models or fully local LLMs, protecting your privacy.
Every AI response includes precise citations; clicking one takes you straight to the exact paper being cited. Accuracy you can verify, not just trust.
Turn your local Zotero knowledge base into a primary "skill" for agentic platforms — Claude Desktop, Claude Code, Cursor, Windsurf, ChatGPT desktop and any MCP-compatible client. Setup takes just a few clicks from the PapersGPT settings panel; with mcp-zotero you can even index and search your whole library without launching Zotero. See MCP & SKILL Support below.
PapersGPT parses and indexes every PDF in your Zotero library locally — structure-aware, so headings, sections and tables stay meaningful. When you ask a question, it retrieves the relevant passages across your library, synthesizes an answer with your chosen LLM (cloud or local), and attaches click-to-jump citations back to the exact source papers. Parsing, indexing and searching all happen on your machine — nothing is uploaded.
PapersGPT's engine parses document structure directly, so a library of 100 or 10,000+ PDFs stays fast to query — with 100% of parsing, indexing and searching happening locally, even in Airplane Mode.
| Library Size | Raw Data Size | Indexing Time | Avg. Query Time | Memory (RSS) | Index Size |
|---|---|---|---|---|---|
| 1,000 PDFs | 4.2 GB | 51.5s | 13.1 ms | 353 MB | 100 MB |
| 10,000 PDFs | 42 GB | 421s (7m 01s) | 19.5 ms | 2.21 GB | 901 MB |
👉 View Detailed Scalability Report & System Specs
Three ways to connect local LLMs:
🔒 Privacy by design: parsing, indexing and searching all happen locally; local LLMs + local document processing ensure "zero-byte" data leakage from your device — critical for confidential research, unpublished work and institutional compliance.
Command + Enter · Windows: Ctrl + EnterCtrl+click on Windows, Command+click on Mac).Then pick a model: any of the 30+ cloud LLMs (a built-in trial is included, no API key needed to start) or a built-in local model. See the Models guide for details.
MCP lets you access your Zotero papers, Obsidian, and Apple Notes from Claude, the ChatGPT desktop app and other MCP clients — see docsagent for details.
Professional SKILL provides various agents for connecting to your local Zotero library:
A professional AI research tool that runs inside Zotero: it indexes your library locally, so you can chat with a single PDF, multiple papers, or the whole library — track new research with Literature Radar and batch-read collections with AutoPilot.
Yes. Select several papers or a whole collection and ask questions across all of them — methods, results and controversies are compared side-by-side, and answers can be saved into Zotero notes.
Yes. Built-in local LLMs (Gemma 4, Qwen 3.5, Mistral 7B, Llama 3.1 and more) run entirely on your machine — PDFs, questions and responses never leave it, and parsing, indexing and searching work offline too.
Select a collection, set your research questions, and AutoPilot reads the papers overnight, extracting findings into structured Zotero Notes. You can also chat with multiple papers simultaneously and export synthesized insights.
Yes — subscribe to your topics in Literature Radar and get daily digests from arXiv, Pu