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Start, stop, and monitor long-running command-line processes in the background.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Background Process MCP" yet — see the docs or source repo.
Start `npm run dev` in the project directory as a background process and keep monitoring its status; if it fails, return the error logs.
Confirmation that the process started, its current status, and a log summary if it fails.
Run `python batch_job.py` in the background, report status periodically, and tell me the exit code and key logs when it finishes.
Status updates while the job runs, plus the exit code and key output after completion.
Find the related command processes running in the background, stop the one using excessive resources, and tell me the result.
Identification of the stopped process, the stop action result, and its current status.
Start, monitor, stop background processes, and inspect logs and resource usage.
Start, stop, and monitor background shell processes without blocking chat.
Securely start, monitor, and manage whitelisted processes for development workflows.
Control CLI processes through MCP for execution, interaction, and output retrieval.
Execute commands safely, search files, and manage system processes via MCP.
Use natural language to run MCP-powered browser and text workflows.