$ loading_
Manage cron jobs, maintenance windows, and settings with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "cronmanager-mcp" yet — see the docs or source repo.
Please use Cronmanager to list all current cron jobs and summarize them by schedule frequency and purpose.
A list of current cron jobs plus a grouped summary by frequency and purpose.
Please create a maintenance window in Cronmanager for this Saturday from 02:00 to 04:00 and report the result.
The tool confirms the maintenance window creation and shows the scheduled time details.
Please review the current Cronmanager settings and tell me which options can be adjusted; update the specified setting if supported.
A summary of available settings, along with any update result or noted limitation.
DevOps engineers or developers can query and manage cron jobs in an MCP client using natural language instead of calling the REST API manually. This is useful for quickly reviewing, organizing, or adjusting scheduled task configurations.
When a team needs to plan system maintenance, they can manage maintenance windows through this tool. It keeps maintenance-related actions inside a conversational workflow.
If you need to review or adjust Cronmanager settings, an LLM client can access those capabilities through this MCP tool. It fits teams that want to bring configuration tasks into an AI assistant workflow.
This is an MCP tool that exposes the Cronmanager REST API to LLM clients such as Claude. It lets users manage cron jobs, maintenance windows, and related settings with natural language.
Based on the description, it mainly manages cron jobs, maintenance windows, and settings. The exact fields or operation scope are not specified in the provided materials.
We only know that it works through the Cronmanager REST API and is intended for MCP clients like Claude. Installation steps, authentication requirements, and runtime details are not provided here; see the source repository.
Create, manage, and persist scheduled prompt jobs with optional execution notifications.
Parse, validate, explain, and preview cron expressions before deployment.
Manage and monitor cron jobs with natural language through MCP.
Manage scheduled email sending jobs with Cron and SendGrid automation.
Query Crontinel cron jobs, queues, Horizon status, and alerts in natural language.
Schedule reminders, delayed callbacks, and recurring jobs for AI agents.