paper-search-tools

A research infrastructure for AI agents. Search, read, and analyze papers from your local knowledge base while coding. Includes arXiv discovery, layered reading, ingestion, topic modeling, citation graphs, insights analytics, Office document inspection, scientific tool docs, and academic writing workflows. Requires Python 3.10+ and pip install.

Use when the user needs academic paper retrieval — searching scientific literature by author/year/journal, finding paper chunks for RAG-style citations, or expanding original text around a known paper offset. Provides three Sciverse tools (search_papers, semantic_search, read_content) via the sciverse-mcp-server MCP server.

Annotated research paper collection management — retrieve, read, extract, cross-reference scientific papers

Tavily web search and content extraction MCP with hooks and skills for optimal tool selection.

ArXiv MCP server implementation using Model Context Protocol

Specialized research analysis agents for critical thinking, evidence verification, synthesis, and parallel paper analysis