A local, rule-based MCP server for searching and analyzing academic papers from arXiv. Enables paper search, ranking, smart summarization, keyword extraction, and citation generation without API keys or LLM calls.
An MCP server that enables searching arXiv, importing papers, enriching with citation data, generating summaries and research ideas, and querying a local library using local LLMs and embeddings.
Enables semantic search across personal PDF paper collections with page-level citations, allowing users to query their library from any MCP-capable client.
A Model Context Protocol (MCP) server that provides AI assistants with a seamless, programmatic interface to search and read academic papers from the open-access arXiv repository.
