ScholarRAG
Supports UIby zht7063
Intelligent academic research assistant for literature collection, learning, and research support using Agentic RAG.
What it does
ScholarRAG is an academic research system that leverages an Agentic RAG architecture to help researchers collect and analyze scientific literature. It uses a Master-Worker pattern to coordinate specialized agents for PDF parsing, SQL metadata queries, and web-based academic searching.
Tools
- Retrieval Worker: Performs vector search and semantic recall from stored academic PDFs.
- SQL Worker: Queries structured paper metadata and experimental data from SQLite.
- WebSearch Worker: Discovers new papers and academic resources via MCP-enabled web tools.
- PDF Parser: Extracts structured content, metadata, and citations from research papers.
Installation
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"scholar-rag": {
"command": "python",
"args": ["-m", "scholar_rag.server"]
}
}
}
Supported hosts
- Claude Desktop
Quick install
pip install scholar-ragInformation
- Pricing
- free
- Published
- 5/8/2026
- stars
- 0
Categories
Choose your AI client and follow the steps below.
Claude Desktop
Configure the server entry in claude_desktop_config.jsonRelated Apps
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