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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, stop, and monitor background shell processes without blocking chat.
Securely start, monitor, and manage whitelisted processes for development workflows.
Manage long-running development processes and logs from MCP hosts.
Use natural language to run MCP-powered browser and text workflows.
Centralize memory, tools, and logic for leaner prompts and scalable AI agents.
Manage MCP server configurations with listing, toggling, and version control.