Enables scientific literature research through multi-agent search, analysis, and semantic memory, exposing 9 MCP tools for querying, storing, and retrieving research findings.
Connects AI agents to the Elnora bioprotocol optimization platform, enabling generation, management, and optimization of wet-lab protocols through natural language.
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 AI agents to search the Chemspace API for synthesizable building blocks and screening compounds using exact matches, substructure searches, and similarity searches by SMILES strings.
Enables searching academic papers and patents, parsing PDFs, and managing knowledge bases via Bohrium Open Platform through any MCP-compatible AI agent.
Enables AI agents and applications to search, retrieve, and analyze chemical compounds, substances, and bioassays from PubChem's vast chemical information database through comprehensive tools for chemical research and discovery.