MCP server that allocates Google Colab GPU runtimes (T4/L4) and executes Python code on them. Lets any MCP-compatible AI assistant run GPU-accelerated code without local GPU hardware.
MCP server for secure, session-based Python code execution in Docker containers, enabling LLM applications to run code, manage state, and access files.
An MCP server that enables LLMs to execute Python code on GPU-accelerated compute nodes within SLURM-managed HPC environments. It bridges local clients to remote clusters by launching JupyterLab sessions via SLURM jobs to facilitate high-performance notebook-based computation.
MCP server for scientific computing with multiple backends (Mathematica, Octave, Python, R, SageMath, etc.) enabling mathematical computation and visualization through AI coding assistants.
MCP server that gives AI assistants a secure gVisor-isolated sandbox to run Python or JavaScript code, returning stdout, stderr, and exit codes without local access.