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Execute Bash commands with timeouts, environment control, and observability.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "bash-command-mcp" yet — see the docs or source repo.
Run `ping -c 4 example.com` with a 10-second timeout, and return stdout, stderr, and the exit code.
Returns the command result, including output, error messages, and whether it finished before the timeout.
Run `bash ./deploy-check.sh` with environment variables `APP_ENV=staging` and `DEBUG=1`, then summarize the key output.
Executes the script in the specified environment and provides a summary of the key logs or results.
Start `python -m http.server 8000` as a background task and tell me whether it started successfully.
Returns the background task status and basic information for later inspection.
Developers or DevOps engineers can use it to run shell commands, scripts, or service checks, with timeouts and environment control for safer execution.
When a task should not block waiting, commands can be run in the foreground or background, which is useful for starting local services, batch jobs, or ongoing tasks.
Teams that need visibility into command execution can use its OpenTelemetry observability support to capture runtime information.
It is an MCP tool for executing Bash commands. Known capabilities include foreground/background execution, timeout control, environment control, and OpenTelemetry observability support.
Based on the description, it supports foreground and background execution, timeout settings, and environment control. These features are useful for scripts, diagnostic commands, and automation tasks.
The provided materials do not include installation steps, runtime requirements, or authentication details. For exact prerequisites, see the source repository.
Run bash commands in a persistent workspace for coding and automation tasks.
Run a single remote shell command safely and get summarized results.
Securely run local and remote commands via SSH with sessions and env variables.
Execute shell commands securely over MCP for controlled dev and ops workflows.
Securely run remote commands over persistent SSH sessions for server management and automation.
Safely run Bash and AppleScript automations on macOS through LLMs.