"Improving package annotation in metabolomics andproteomics via robust, ontology-driven LLM integration" https://doi.org/10.37044/osf.io/x5v6b_v1
"At BioHackathon Europe 2025, our team explored how Large Language Models (LLMs) can assist this process through the Model Context Protocol (MCP), an emerging open standard that specifies how LLMs call external functions, using metabolomics as a domain use case. We developed an MCP-based workflow that grounds tool descriptions in the EDAM ontology (Ison et al., 2013) (Black et al., 2022), improving reproducibility and semantic precision." https://osf.io/preprints/biohackrxiv/x5v6b_v1

