The ArXiv MCP Server bridges the gap between AI models and academic research by providing a sophisticated interface to arXiv's extensive research repository. This server enables AI assistants to perform precise paper searches and access full paper content, enhancing their ability to engage with scientific literature.
Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.
Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol, allowing you to search your library, access content, discuss papers, get summaries, and analyze citations.
A lightweight MCP server that connects AI agents to a local Zotero library for paper management and metadata retrieval. It enables users to search titles and abstracts, browse collections, and automatically ingest papers via arXiv ID or DOI with PDF attachments.
A server that enables MCP clients like Anthropic Claude App to interact with local Zotero libraries, allowing users to search papers, manage notes, and access research materials through natural language.
A local MCP server for searching scientific papers, retrieving metadata and abstracts, and legally downloading Open Access PDFs via OpenAlex, CrossRef, and Unpaywall APIs.
