Full Datadog API access: monitors, logs, metrics, traces, dashboards, and observability tools
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Datadog MCP Server is an MCP server that full Datadog API access: monitors, logs, metrics, traces, dashboards, and observability tools. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 74/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"datadog": {
"env": {
"DD_SITE": "datadoghq.com",
"DD_API_KEY": "your-api-key",
"DD_APP_KEY": "your-app-key"
},
"args": [
"-y",
"datadog-mcp"
],
"command": "npx"
}
}
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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.
No automated test available for this server. Check the GitHub README for setup instructions.
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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.
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"
}
}
}
}
To run as an HTTP server (e.g. inside a container or Kubernetes pod), add transport variables to the same env block:
"env": {
"DD_API_KEY": "your-api-key",
"DD_APP_KEY": "your-app-key",
"MCP_TRANSPORT": "http",
"MCP_PORT": "3000",
"MCP_HOST": "0.0.0.0"
}
DD_API_KEY=your-api-key
DD_APP_KEY=your-app-key
DD_SITE=datadoghq.com # Default. Use datadoghq.eu for EU, etc.
# Limit defaults (fallbacks when the AI doesn't specify)
MCP_DEFAULT_LIMIT=50 # General tools default limit
MCP_DEFAULT_LOG_LINES=200 # Logs tool default limit
MCP_DEFAULT_METRIC_POINTS=1000 # Metrics timeseries data points
MCP_DEFAULT_TIME_RANGE=24 # Default time range in hours
# Transport (alternative to CLI flags — useful in Kubernetes)
MCP_TRANSPORT=stdio # stdio | http
MCP_PORT=3000 # HTTP port
MCP_HOST=0.0.0.0 # HTTP host
--site=datadoghq.com # Datadog site (overrides DD_SITE)
--transport=stdio|http # Transport mode (default: stdio)
--port=3000 # HTTP port when using http transport
--host=0.0.0.0 # HTTP host when using http transport
--read-only # Block all write operations
--disable-tools=synthetics,rum,security # Comma-separated list of tools to disable
| Transport | When to use | Endpoints |
|---|---|---|
stdio (default) | Local MCP clients — Claude Desktop, Cursor, VS Code | n/a (process stdin/stdout) |
http | Remote / container / Kubernetes | POST /mcp · GET /mcp (SSE) · DELETE /mcp · GET /health |
Select with --transport=http or MCP_TRANSPORT=http.
{
"mcpServer
... [View full README on GitHub](https://github.com/tantiope/datadog-mcp-server#readme)