MCP Datadog Playcourt
Provides monitoring tools for querying Kubernetes metrics, deployment performance, APM data, infrastructure hosts, and database metrics through Datadog's monitoring platform.
Enables querying of Kubernetes metrics including pod counts, CPU, memory, network usage, deployment monitoring, and namespace-level resource aggregation.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
MCP Datadog Playcourt
MCP Server for Datadog monitoring with Kubernetes, APM, and infrastructure metrics support.
Installation
npx mcp-datadog-playcourtRelated MCP server: Datadog MCP Server
Configuration
Add to your MCP settings (VS Code mcp.json):
{
"servers": {
"datadog": {
"command": "npx",
"args": ["mcp-datadog-playcourt"],
"env": {
"DATADOG_API_KEY": "your-api-key",
"DATADOG_APP_KEY": "your-app-key",
"DATADOG_SITE": "datadoghq.com"
}
}
}
}Features
Kubernetes Metrics: Query pod counts, CPU, memory, network metrics
Deployment Monitoring: Get comprehensive deployment metrics including response time
Namespace Aggregation: Total resource usage per namespace
Host Monitoring: List and monitor infrastructure hosts
APM Support: Application performance monitoring metrics
Tools Available
query_kubernetes_metrics- Query any Kubernetes metricquery_deployment_pods- Get deployment metrics (10 metrics including response time)get_namespace_metrics- Namespace-level resource aggregationlist_all_hosts- List all monitored hosts with system infoget_host_detail- Get detailed info for a specific hostlist_hosts- List monitored hostslist_databases- List monitored databasesquery_host_metrics- Query host infrastructure metricsquery_database_metrics- Query database metrics
Environment Variables
DATADOG_API_KEY- Your Datadog API key (required)DATADOG_APP_KEY- Your Datadog Application key (required)DATADOG_SITE- Datadog site (default: datadoghq.com)
License
MIT
This server cannot be deployed
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