Enables automating materials science research workflows through a multi-agent AI platform, including literature discovery, knowledge extraction, simulation, and document generation.
A comprehensive Model Context Protocol server that enables advanced PubMed literature search, citation formatting, and research analysis through natural language interactions.
High-strategic intelligence platform for life sciences that enables real-time clinical trial audits, competitive landscape mapping, regulatory cross-referencing, and financial milestone correlation using the Model Context Protocol.
Enables scientific literature research through multi-agent search, analysis, and semantic memory, exposing 9 MCP tools for querying, storing, and retrieving research findings.
Enables natural language querying of OPTIMADE-compatible material databases like Materials Project and Materials Cloud via the Model Context Protocol. It provides tools for linting query filters, discovering database providers, and accessing full structured data results as MCP resources.