An academic research tool that enables users to search across nine major paper sources, rank results with AI-driven criteria, and automate paper notifications to multiple platforms. It streamlines literature management through integrated support for Zotero, Obsidian, and personal library website generation.
Enables AI-powered academic research by searching and retrieving research papers from OpenAlex database. Supports searching by keywords/topics and fetching full abstracts for detailed paper analysis.
Enables searching, downloading, and analyzing academic papers from arXiv and Semantic Scholar to extract key insights and citation metrics. It facilitates autonomous knowledge acquisition by processing research findings and integrating them into persistent AI memory systems.
An advanced integrated MCP server platform that combines 600+ tools and multiple biomedical databases to enable comprehensive information retrieval across molecules, proteins, genes, and diseases for accelerating therapeutic research.
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.
Provides access to OpenAlex's catalog of 240+ million scholarly works through 18 specialized tools for conducting literature reviews, analyzing citations, tracking research trends, and mapping the scholarly landscape including authors, institutions, and collaboration networks.
MCP server that integrates a 1200-paper RAG database with six tools to support research workflows across stages like hypothesis, experiment, statistics, and writing. It routes requests to specialized skills and real-time frontier searches to provide evidence-grounded research mentoring.
Unified MCP server for scientific literature search and extraction, integrating databases like Scopus, OpenAlex, Semantic Scholar, and Unpaywall to enable AI agents to discover papers, track citations, and analyze content.
An MCP server that connects AI agents to the PEPTOMA open DeSci peptide research platform, enabling peptide sequence analysis, feed search, and peer-review annotations.
A bridge connecting AI agents to NCBI's PubMed database through the Model Context Protocol, enabling seamless searching, retrieval, and analysis of biomedical literature and data.
MCP server for agentic systematic literature reviews with citation verification. Enables AI assistants to list reviews, get drafts, retrieve citation audits, and manage discovered papers.
Automates the full academic research pipeline from refining research questions to generating publication-ready reports, integrating with major AI clients.
