IoWarp
Connects AI agents and large language models with diverse scientific computing resources and datasets via a standardized protocol.
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IoWarp MCPs is a collection of Model Context Protocol (MCP) servers specifically designed to bridge the gap between artificial intelligence and scientific computing. It enables AI agents and Large Language Models (LLMs) to seamlessly interact with various data analysis tools, High-Performance Computing (HPC) resources, and complex research datasets. This platform offers standardized interfaces for tasks ranging from reading scientific data formats (e.g., ADIOS, HDF5, Parquet) and analyzing data with Pandas, to generating plots, managing HPC jobs via Slurm, and fetching research papers from ArXiv, making AI practically applicable to scientific workflows.
Características Principales
- Standardized protocol for AI-HPC interaction (MCP)
- Integrates with diverse scientific data formats (ADIOS, HDF5, Parquet)
- Enables data analysis and visualization via AI agents (Pandas, Plot)
- Provides HPC resource management capabilities (Slurm job submission, Lmod environment management)
- Facilitates research data access (ArXiv paper fetching)
- 13 GitHub stars
Casos de Uso
- Orchestrating and submitting HPC jobs through intelligent AI interfaces.
- Automating complex scientific data analysis workflows using AI agents.
- Allowing LLMs to query, manipulate, and visualize research datasets.
