Enables anaerobic digester design from feedstock characterization to dynamic simulation using a complete mADM1 model with 63 components, including AI-powered state generation and thermodynamic pH solving.
An intelligent MCP server for the automated design and sizing of aerobic biological wastewater treatment systems using membrane bioreactor (MBR) technology. It leverages ASM2d kinetics to perform mass balance calculations, flowsheet selection, and generate detailed engineering reports.
An MCP Server that provides access to Google Cloud Life Sciences API, enabling users to run biomedical workloads in the cloud through natural language interactions.
Enables unified access to 110 life science APIs and databases, including genomics, proteomics, chemistry, literature, and clinical data. Users can query genes, proteins, compounds, pathways, and more through natural language.
Enables healthcare AI interactions via MCP protocol with built-in EU AI Act compliance. Provides quick installation, well-documented API, and enterprise support.
Enables AI-powered dental X-ray analysis and treatment planning using YOLOv11 and clinical guideline RAG, integrated with MCP for use with Claude and other AI assistants.
Enables AI-driven post-discharge patient monitoring and care coordination through tools for symptom triage, recovery tracking, exercise recommendation, and clinical reporting.
Enables AI agents to verify medical-record claims against synthetic FHIR evidence using a deterministic, non-AI verifier. Provides MCP tools for evidence retrieval, claim verification, and benchmark evaluation without requiring real patient data.