AWS CloudWatch
ActiveAn AI agent for AWS CloudWatch. It works in a scene with a live connection to AWS CloudWatch. It asks before it writes, and every run is traced.
Query CloudWatch metrics, monitor alarms, and search logs. Build dashboards with time-series charts for any AWS service — Lambda invocations, SQS queue depth, DynamoDB throughput, and more.
What you can connect
Add these to your scene and AI gets access.
AWS credentials for CloudWatch access
Tools
What the agent can do once this is connected.
Reads 4
See data. Nothing changes.
cloudwatch_list_metrics
List available CloudWatch metrics.
cloudwatch_get_metric_data
Query CloudWatch metric time-series data.
cloudwatch_describe_alarms
List CloudWatch alarms and their current states (OK, ALARM, INSUFFICIENT_DATA).
cloudwatch_logs_filter
Search CloudWatch Logs using filter patterns.
Connect AWS CloudWatch over MCP
Daslab is itself an MCP server.
Connect AWS CloudWatch in a scene, then pin that scene's URL in Claude Code, Cursor, or any MCP client. The agent there gets your AWS CloudWatch tools, and your approval gate and trace travel with them.
https://daslab.run/mcp/<your-world>/<your-scene>One scene can hold AWS CloudWatch and everything else you connect, so a single endpoint carries them all. Set up a client.
Use cases
- Monitor AWS service metrics and build charts
- Check alarm states across your infrastructure
- Search and filter CloudWatch Logs
Similar integrations
Others in Infrastructure.
Ready to try AWS CloudWatch with Daslab?
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