Datadog MCP Server
by MCP-Mirror
The Datadog MCP Server is a Model Context Protocol server designed to interact with the Datadog API. It provides access to monitoring data, dashboards, metrics, events, logs, and incidents within your Datadog environment.
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Datadog MCP Server
A Model Context Protocol (MCP) server for interacting with the Datadog API.
<a href="https://glama.ai/mcp/servers/@GeLi2001/datadog-mcp-server"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@GeLi2001/datadog-mcp-server/badge" alt="Datadog MCP server" /> </a>Features
- Monitoring: Access monitor data and configurations
- Dashboards: Retrieve and view dashboard definitions
- Metrics: Query available metrics and their metadata
- Events: Search and retrieve events within timeframes
- Logs: Search logs with advanced filtering and sorting options
- Incidents: Access incident management data
- API Integration: Direct integration with Datadog's v1 and v2 APIs
- Comprehensive Error Handling: Clear error messages for API and authentication issues
Prerequisites
- Node.js (version 16 or higher)
- Datadog account with:
- API key - Found in Organization Settings > API Keys
- Application key - Found in Organization Settings > Application Keys
Installation
Via npm (recommended)
npm install -g datadog-mcp-server
From Source
- Clone this repository
- Install dependencies:
npm install
- Build the project:
npm run build
Configuration
You can configure the Datadog MCP server using either environment variables or command-line arguments.
Environment Variables
Create a .env
file with your Datadog credentials:
DD_API_KEY=your_api_key_here
DD_APP_KEY=your_app_key_here
DD_SITE=datadoghq.com
Command-line Arguments
datadog-mcp-server --apiKey=your_api_key --appKey=your_app_key --site=datadoghq.eu
Note: The site argument doesn't need https://
- it will be added automatically.
Usage with Claude Desktop
Add this to your claude_desktop_config.json
:
{
"mcpServers": {
"datadog": {
"command": "npx",
"args": [
"datadog-mcp-server",
"--apiKey",
"<YOUR_API_KEY>",
"--appKey",
"<YOUR_APP_KEY>",
"--site",
"<YOUR_DD_SITE>(e.g us5.datadoghq.com)"
]
}
}
}
Locations for the Claude Desktop config file:
- MacOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%/Claude/claude_desktop_config.json
Usage with MCP Inspector
To use with the MCP Inspector tool:
npx @modelcontextprotocol/inspector datadog-mcp-server --apiKey=your_api_key --appKey=your_app_key
Available Tools
The server provides these MCP tools:
- get-monitors: Fetch monitors with optional filtering
- get-monitor: Get details of a specific monitor by ID
- get-dashboards: List all dashboards
- get-dashboard: Get a specific dashboard by ID
- get-metrics: List available metrics
- get-metric-metadata: Get metadata for a specific metric
- get-events: Fetch events within a time range
- get-incidents: List incidents with optional filtering
- search-logs: Search logs with advanced query filtering
- aggregate-logs: Perform analytics and aggregations on log data
Examples
Example: Get Monitors
{
"method": "tools/call",
"params": {
"name": "get-monitors",
"arguments": {
"groupStates": ["alert", "warn"],
"limit": 5
}
}
}
Example: Get a Dashboard
{
"method": "tools/call",
"params": {
"name": "get-dashboard",
"arguments": {
"dashboardId": "abc-def-123"
}
}
}
Example: Search Logs
{
"method": "tools/call",
"params": {
"name": "search-logs",
"arguments": {
"filter": {
"query": "service:web-app status:error",
"from": "now-15m",
"to": "now"
},
"sort": "-timestamp",
"limit": 20
}
}
}
Example: Aggregate Logs
{
"method": "tools/call",
"params": {
"name": "aggregate-logs",
"arguments": {
"filter": {
"query": "service:web-app",
"from": "now-1h",
"to": "now"
},
"compute": [
{
"aggregation": "count"
}
],
"groupBy": [
{
"facet": "status",
"limit": 10,
"sort": {
"aggregation": "count",
"order": "desc"
}
}
]
}
}
}
Example: Get Incidents
{
"method": "tools/call",
"params": {
"name": "get-incidents",
"arguments": {
"includeArchived": false,
"query": "state:active",
"pageSize": 10
}
}
}
Troubleshooting
If you encounter a 403 Forbidden error, verify that:
- Your API key and Application key are correct
- The keys have the necessary permissions to access the requested resources
- Your account has access to the requested data
Debugging
If you encounter issues, check Claude Desktop's MCP logs:
# On macOS
tail -n 20 -f ~/Library/Logs/Claude/mcp*.log
# On Windows
Get-Content -Path "$env:APPDATA\Claude\Logs\mcp*.log" -Tail 20 -Wait
Common issues:
- 403 Forbidden: Authentication issue with Datadog API keys
- API key or App key format invalid: Ensure you're using the full key strings
- Site configuration errors: Make sure you're using the correct Datadog domain
License
MIT