Datadog MCP Server
DISCLAIMER: This is a community-maintained project and is not officially affiliated with, endorsed by, or supported by Datadog, Inc. This MCP server utilizes the Datadog API but is developed independently.
MCP server providing AI assistants with full Datadog observability access. Features grep-like log search, APM trace filtering with duration/status/error queries, smart sampling modes for token efficiency, and cross-correlation between logs, traces, and metrics. Supports both stdio (local) and http (remote/Kubernetes) transports.
Quick Start
Minimal Claude Desktop / VS Code / Cursor config — just the two required keys:
{
"mcpServers": {
"datadog": {
"command": "npx",
"args": ["-y", "datadog-mcp"],
"env": {
"DD_API_KEY": "your-api-key",
"DD_APP_KEY": "your-app-key"
}
}
}
}With optional tuning (EU site, custom default limits, longer log windows):
{
"mcpServers": {
"datadog": {
"command": "npx",
"args": ["-y", "datadog-mcp"],
"env": {
"DD_API_KEY": "your-api-key",
"DD_APP_KEY": "your-app-key",
"DD_SITE": "datadoghq.eu",
"MCP_DEFAULT_LIMIT": "50",
"MCP_DEFAULT_LOG_LINES": "200",
"MCP_DEFAULT_METRIC_POINTS": "1000",
"MCP_DEFAULT_TIME_RANGE": "24"
}
}
}
}
