Enables LLM clients to run Python code in a persistent, user-selected interpreter via MCP, with tools for data loading, summaries, regressions, diagnostics, and plotting, while keeping sessions alive between calls and isolating crashes.
MCP server for secure, session-based Python code execution in Docker containers, enabling LLM applications to run code, manage state, and access files.