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Run async Python and shell commands with persistent state and background jobs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-async-repl" yet — see the docs or source repo.
Start an async Python session, define an async function, run 3 tasks concurrently, print each task's completion time, and keep the variables for later debugging.
A persistent interactive Python session result with concurrent task output and preserved runtime state.
Start a long-running shell command in the background, then show me how to check its status, read its output, and terminate it if needed.
A background job ID, status-check method, log output access, and instructions to stop the job.
Run a Python script that triggers input() or interactive prompts; when input is requested, relay the question to me and continue execution after I reply.
A step-by-step interactive execution flow with prompt relaying, user input bridging, and final results.
Run persistent stateful Python sessions with timeouts, isolation, and tool bridging.
Run terminal commands, execute Python, and manage files for local automation.
Give AI interactive terminal sessions for REPLs, SSH, and command-line tools.
Give AI full visibility into your local development environment for faster troubleshooting.
Control CLI processes through MCP for execution, interaction, and output retrieval.
Start, stop, and monitor background shell processes without blocking chat.