Agent Toolkit

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The Agent Toolkit provides a unified interface for AI agents to interact with complex scientific computing environments, eliminating the need for manual scripting and tool-specific knowledge. It offers a collection of Model Context Protocol (MCP) servers, each specialized in handling tasks across HPC resources, diverse scientific data formats like HDF5 and Parquet, and research datasets. This empowers researchers to manage Slurm jobs, analyze scientific data, discover research papers, and visualize results using natural language commands, streamlining scientific workflows with AI assistance.

Características Principales

• Production-ready, fully typed, MIT licensed, and beta-tested in HPC environments
• AI-assisted scientific workflows through natural language commands
• Direct interaction with HPC resources (e.g., Slurm) and scientific data formats (e.g., HDF5, Parquet)
• 14 GitHub stars
• Supports research tasks such as paper discovery (ArXiv) and data visualization
• Unified interface integrating 15 MCP servers and over 150 specialized tools

Casos de Uso

• Processing, filtering, and optimizing pandas DataFrames and generating plots from CSV data.
• Analyzing scientific datasets in HDF5 files to extract structures and data fields.
• Discovering and fetching research papers from ArXiv, including details and citation exports.
• Managing and submitting HPC jobs to Slurm clusters, monitoring progress, and retrieving outputs.