- MONITOR
- CLEANUP
- AUDIT
- HUMAN
Short answer
How can I track and manage my AMC queries using AI?
Your AI uses the connector to pull a list of active jobs and check their current status. If a query hangs or stalls, you can tell your agent to kill the execution immediately. This gives you a clear view of your resource usage without digging through the AMC console.
Where every issue lands.
Manage your query lifecycle.
Your AI turns raw execution data into actionable oversight.
MONITOR
Live status tracking
The AI pulls the current state of all jobs. You get a clear picture of what is running, what finished, and what failed.
CLEANUP
Stop stalled jobs
If a query is stuck, your agent can kill it. This prevents wasted resources and keeps your account clean.
AUDIT
Review execution history
The AI looks back at previous runs. You can quickly identify patterns in query success or failure.
HUMAN
Manual intervention
The AI identifies the problems, but you decide which specific queries are worth killing or restarting.
The workflow
What your AI does when a query runs.
The AI acts as a bridge between your chat interface and the AMC backend.
Fetch job list
The AI identifies all recent and active query jobs in your account.
list_executionsCheck progress
The AI looks at specific job details to see if they are still running or if they hit an error.
get_execution_statusIdentify stalls
The AI compares timestamps and statuses to find queries that aren't making progress.
get_execution_statusTerminate jobs
Once you confirm, the AI stops the specific execution that is causing issues.
delete_execution
Try it
Copy these to start.
Use these prompts to begin managing your AMC queries.
Starting points
These are starting points. Swap out the specific job IDs or timeframes to match your actual AMC data.
Amazon Marketing Cloud Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_im4kYeyTbSMqZOudko7I4MxH8XnNcyWNp4QSF0Ar/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 — Amazon Marketing Cloud capabilities are ready to use.
{
"mcpServers": {
"amazon-marketing-cloud-mcp": {
"url": "https://edge.vinkius.com/vk_preview_im4kYeyTbSMqZOudko7I4MxH8XnNcyWNp4QSF0Ar/mcp"
}
}
}List all my current AMC query executions so I can see what is running.
Check the status of the query execution with ID 12345.
Find any AMC queries that have been running for too long and are stuck.
Delete the execution for the stalled query I just identified.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Amazon Marketing Cloud once, then ask.
Just link your account once. Your credentials stay encrypted, and you can immediately start managing queries through your favorite AI client.
Connect Amazon Marketing Cloud to your AIFAQ
How this task behaves.
- 01
Can the AI create new queries for me?
No. This connector is for monitoring and managing existing executions, not for writing or submitting new SQL queries.
- 02
Will the AI delete my query data?
No. The AI can only delete specific execution instances, not the underlying data or the queries themselves.
- 03
How does the AI know if a query is stalled?
The AI checks the status of the execution. If the status hasn't changed within your expected timeframe, it flags it as a potential stall.
- 04
Can I automate the deletion of queries?
The AI can perform the deletion, but it won't do it autonomously. You must tell the agent to delete a specific execution.
- 05
Does the AI have access to my raw marketing data?
No. The AI only interacts with the execution metadata, such as job status and IDs, through the provided tools.
More questions about Amazon Marketing Cloud? The Connector page answers them. See everything the Amazon Marketing Cloud Connector can do
Connect Amazon Marketing Cloud to Claude, Cursor, ChatGPT & more
