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rak Zotero RAG
by agents365-ai
Semantic and hybrid search over Zotero libraries with local embeddings and RAG-powered Q&A.
0 stars
Works in:Cursorzed
Exposes:Tools
What it does
rak is a specialized RAG (Retrieval-Augmented Generation) tool for Zotero. It indexes PDF full-texts and metadata locally using embeddings, allowing AI assistants to perform semantic searches, find similar papers, and answer complex research questions based on the user's personal academic library.
Tools
search_papers: Performs semantic or hybrid (Vector + BM25) search and returns matching snippets.search_papers_bm25: Pure keyword-based search over indexed full-texts.similar_papers: Finds papers similar to a specific Zotero key or title.ask_papers: LLM-powered Q&A based on retrieved paper contexts.export_papers: Exports search results to CSV or BibTeX formats.index_status: Reports the current state of the local vector index.
Installation
Install the MCP package via pip:
pip install zotero-rag-cli[mcp]
Then add to your MCP configuration:
{
"mcpServers": {
"rak": {
"command": "rak-mcp"
}
}
}
Supported hosts
- claude
- cursor
- zed
Quick install
pip install zotero-rag-cli[mcp]Information
- Pricing
- free
- Published
- 4/17/2026
- stars
- 0
Categories
Choose your AI client and follow the steps below.
Cursor
Add rak-mcp to the MCP settings in Cursor.Claude Desktop
pip install zotero-rag-cli[mcp] then add "rak": { "command": "rak-mcp" } to config.





