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ScholarRAG
Supports UIby zht7063
Intelligent academic research assistant for literature collection, learning, and research support using Agentic RAG.
0 stars
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Works in:claude
Exposes:ToolsResources
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
