Async Python REPL + Shell execution for MCP. Provides persistent state, background jobs, interactive input() bridging, and crash isolation in a single server.
A server that provides a persistent Python REPL environment through the MCP protocol, allowing execution of Python code, variable management, and package installation.
A persistent Python REPL MCP server for AI agents with stateful execution, real timeouts, crash isolation, and an MCP bridge to call other tools in the project.
Exposes an interactive terminal over MCP, enabling remote shell command execution, file operations, and directory management via ChatGPT or Claude Desktop.
Enables LLM agents to perform local development and automation over MCP STDIO, including project context retrieval, file read/write and patching, shell/Python execution, Git inspection, work-state tracking, and validation. It runs as a local Python process with Dev and Safe execution modes and audit logging for trusted single-developer environments.