Paperpal
Enhance literature reviews by enabling LLMs to access and interact with academic papers.
About
Paperpal is an MCP extension designed to assist in literature review processes. It provides Large Language Models (LLMs) with access to academic resources like arXiv and Hugging Face papers, enabling users to have natural conversations with their LLMs (e.g., Claude) for guidance. This allows for discussing papers, finding new research, and organizing ideas effectively, though users should be mindful of potential LLM hallucinations and the limitations of semantic search.
Key Features
- Enables LLMs to access arXiv and Hugging Face papers
- 3 GitHub stars
- Facilitates discussion and summarization of research papers with LLMs
- Assists in organizing ideas for literature reviews
- Helps in searching for new papers related to a topic
Use Cases
- Organizing ideas and notes for writing literature reviews
- Finding relevant academic papers for literature reviews
- Discussing research papers with AI
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