Enables AI scientists to access over 1000 machine learning models, datasets, APIs, and scientific packages for data analysis, knowledge retrieval, and experimental design from any large language model.
Enables automating materials science research workflows through a multi-agent AI platform, including literature discovery, knowledge extraction, simulation, and document generation.
Connects AI assistants to LabArchives electronic lab notebooks, enabling querying, semantic search, page navigation, and file uploads with provenance tracking.
Enables AI-assisted scientific research workflow management through MCP, including project creation, ideation, experiment execution, and artifact handling, with integration for ChatGPT, Codex, and Claude Code.
Enables semantic search and conversational querying across a personal research library of PDFs, DOCX, and other documents using a vector database. It provides tools for document summarization, finding related papers, and high-accuracy retrieval for AI clients like Claude Desktop.