An Autonomous Agentic Query Framework with MCP Tools and Modernized NIST SRD-46 for Accelerating Aqueous Speciation Analysis
Large language models (LLMs) could automate reasoning over structured scientific databases in chemistry and materials science, but this requires purpose-built agentic architectures, not simply better models. We present an agentic workflow for systematically querying and extracting data from the NIST Standard Reference...