- AUDIT
- STATUS
- MANUAL
- HISTORY
Short answer
How can I manage scheduled agent tasks with my AI?
You use your agent to pull a real-time list of all active cron jobs and their execution status. This lets you audit automated workflows and catch errors without digging through logs. You'll see exactly what is running and when it last triggered.
Task outcomes
Where your task data lands.
The AI organizes your cron job information into these specific views.
AUDIT
Active schedule lists
The AI uses list_crons to show you every scheduled task currently in the system. You get a clear view of what's active.
STATUS
Execution health checks
Your agent checks the state of recent runs to see if tasks succeeded or failed. This identifies broken workflows immediately.
MANUAL
Human intervention needed
If a cron job fails or looks suspicious, the AI flags it for you. You decide whether to restart a task or fix the underlying code.
HISTORY
Past run logs
The AI reviews the history of completed jobs. You can track patterns in how your autonomous agents behave over time.
The workflow
What your AI does when a task arrives.
The AI acts as a supervisor for your LangGraph Cloud environment.
Scan schedules
The agent pulls the full list of all configured cron jobs to understand the current automation landscape.
list_cronsVerify status
It looks at the specific details of each job to see if they are currently active or pending.
list_cronsIdentify failures
The AI compares expected run times against actual results to find gaps or errors.
list_cronsReport findings
The agent summarizes the health of your automated workflows in plain language.
list_crons
Try it
Copy these to start.
Use these prompts to begin auditing your workflows.
Starting points
These are basic requests. You can swap out specific job names or timeframes as needed.
LangGraph Cloud Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_W9eYJ3x7BufqP9zavlkhkY5HUux0v9z8z0xZYWei/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — LangGraph Cloud capabilities are ready to use.
{
"mcpServers": {
"langgraph-cloud-stateful-ai-agents-mcp": {
"url": "https://edge.vinkius.com/vk_preview_W9eYJ3x7BufqP9zavlkhkY5HUux0v9z8z0xZYWei/mcp"
}
}
}List all the active cron jobs currently running in LangGraph Cloud.
Check the status of the 'daily_report_gen' cron job to see if it ran successfully today.
Are there any scheduled tasks that have failed recently?
Show me a summary of all automated workflows scheduled for this week.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect LangGraph Cloud once, then ask.
Just link your account once. Your credentials stay encrypted, and you can immediately start asking your agent about your scheduled tasks.
Connect LangGraph Cloud to your AIFAQ
How this task behaves.
- 01
Can the AI delete a cron job for me?
No. The AI can only list and audit existing cron jobs using list_crons. You must manage deletions manually in your LangGraph Cloud dashboard.
- 02
Can the AI change the timing of a scheduled task?
No. The AI can see when tasks are scheduled, but it does not have the tools to modify or reschedule them.
- 03
How often does the AI see updates to my cron jobs?
The AI sees the most current state every time you ask it to run the list_crons tool.
- 04
Can the AI fix a failed agent workflow automatically?
No. The AI can identify that a task failed, but it cannot rewrite your code or re-run the logic itself.
- 05
Does the AI have access to my LangGraph Cloud credentials?
No. Vinkius manages the connection securely so your agent can use the tools without ever seeing your raw login data.
More questions about LangGraph Cloud? The Connector page answers them. See everything the LangGraph Cloud Connector can do
Connect LangGraph Cloud to Claude, Cursor, ChatGPT & more
