Best for
- Developers and SREs looking to integrate Datadog operations into AI-assisted workflows
- Teams using Claude Desktop and other MCP-compatible clients
Community-maintained Datadog MCP server with broad coverage of Datadog features including incidents, monitoring, logs, and RUM, designed to be extensible. Requires proper configuration of Datadog API credentials.
mcp-server-datadog is a community-maintained MCP server that integrates Datadog's observability capabilities into the MCP ecosystem. It provides a set of tools for managing incidents, retrieving monitors, logs, dashboards, metrics, APM traces, and managing hosts and downtimes, as well as RUM (Real User Monitoring) features. This server is developed independently and is not officially endorsed by Datadog.
pnpm install and pnpm build. 3. Set environment variables DATADOG_API_KEY and DATADOG_APP_KEY (required), and optionally DATADOG_SITE, DATADOG_SUBDOMAIN, and DATADOG_STORAGE_TIER. 4. Configure the server in your MCP client using npx -y @winor30/mcp-server-datadog or point to the built build/index.js. 5. For automated installation, run npx -y @smithery/cli install @winor30/mcp-server-datadog --client claude.{
"mcpServers": {
"mcp-server-datadog": {
"command": "npx",
"args": [
"-y",
"@winor30/mcp-server-datadog"
],
"env": {
"DATADOG_API_KEY": "<YOUR_API_KEY>",
"DATADOG_APP_KEY": "<YOUR_APP_KEY>",
"DATADOG_SITE": "<YOUR_SITE>",
"DATADOG_SUBDOMAIN": "<YOUR_SUBDOMAIN>",
"DATADOG_STORAGE_TIER": "indexes"
}
}
}
}