
Manage Lmod environment modules with natural-language queries, loading, and configuration changes.
Enable AI agents to read and explore HDF5 scientific data files.
Manage, automate, and monitor high-performance computing pipelines and research workflows.
Analyze Darshan I/O traces to find storage bottlenecks and anomalous patterns.
Render GeoJSON layers into high-quality basemapped map images.
Discover scientific datasets for remote agents through an operator-owned MCP tool.
Visualize and analyze scientific data through a ParaView MCP server.
Compress content through MCP to reduce context size in AI workflows.
Connect to ArXiv via MCP to find, read, and cite papers.
Analyze saved earthquake catalogs for sequence characteristics and completeness magnitude metrics.
Search and discover datasets across the National Data Platform.
Connect to Slurm clusters to inspect jobs, queues, and HPC scheduling tasks.
Create advanced data visualizations and plots for analysis and presentation.
Fetch and analyze ADIOS2 BP5 scientific data, metadata, and attributes.
Access, inspect, and work with Apache Parquet data files efficiently.
Perform advanced data analysis and dataframe operations with comprehensive Pandas capabilities.
Process and sort large log files in parallel for faster analysis.
Inspect, validate, and summarize GeoJSON files to catch structure and data issues.
Structured Spack discovery and installation tools for scientific agents