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Index and search paper collections across isolated local projects via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PaperMCP" yet — see the docs or source repo.
Search the "LLM Review" project for papers related to retrieval-augmented generation and return the most relevant results first.
Relevant paper results from that isolated project, helping quickly locate target literature.
List all my current paper projects and show an overview of the paper collection in each project.
A list of separate projects and their paper collections for project-based literature management.
Use both keyword matching and semantic similarity to find papers about graph neural networks in the local paper library.
Combined results from BM25 and vector retrieval, improving coverage and relevance.
Researchers or students can create separate paper projects by topic to avoid mixing literature from different research tracks. They can then search and manage the collection within the relevant project.
When users need to quickly find relevant literature in a local paper library, they can use MCP with both BM25 and dense vector retrieval. This supports both keyword matching and semantic similarity.
Developers can connect this tool to MCP-compatible agents so they can search and manage paper collections within isolated projects. It fits scenarios where an AI assistant needs access to a local paper index.
It is a lightweight, local paper index server with isolation across multiple projects, exposed through MCP. It supports dual retrieval with BM25 and dense vectors, along with paper collection management.
It supports dual retrieval: BM25 and dense vector retrieval. In other words, it can handle both keyword matching and semantic similarity search.
The provided material only says it runs locally and exposes functionality through MCP, without specific installation steps, dependencies, or key requirements. See the source repository for details.
Convert research PDFs to Markdown and search them with grep plus semantics.
Search papers, parse full-text PDFs, extract details, and manage citations.
Search, read, and summarize arXiv papers for faster research and study.
Search and download academic papers from public sources for AI research workflows.
Search, download, and read academic papers across major scholarly sources.
Search and retrieve arXiv papers by topic, author, category, or ID.