What is Datadog Mcp Server

Datadog MCP Server is a Model Context Protocol server designed for seamless interaction with the Datadog API, allowing users to manage and retrieve various monitoring data and configurations.

Use cases

Use cases include monitoring application performance, retrieving log data for troubleshooting, managing incidents, and integrating with other tools for enhanced observability.

How to use

To use Datadog MCP Server, install it via npm or from source, configure it with your Datadog API and application keys, and run it using command-line arguments or environment variables.

Key features

Key features include monitoring access, dashboard retrieval, metric querying, event searching, advanced log filtering, incident management access, direct API integration, and comprehensive error handling.

Where to use

Datadog MCP Server is primarily used in IT operations, DevOps, and application performance monitoring, where real-time data access and management are crucial.

Datadog MCP Server

A Model Context Protocol (MCP) server for interacting with the Datadog API.

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
• Service-Specific Endpoints: Support for different endpoints for logs and metrics

Prerequisites

1. Node.js (version 16 or higher)
2. 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

1. Clone this repository
2. Install dependencies:

   npm install
   

3. 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
DD_LOGS_SITE=datadoghq.com
DD_METRICS_SITE=datadoghq.com

Note: DD_LOGS_SITE and DD_METRICS_SITE are optional and will default to the value of DD_SITE if not specified.

Command-line Arguments

Basic usage with global site setting:

datadog-mcp-server --apiKey=your_api_key --appKey=your_app_key --site=datadoghq.eu

Advanced usage with service-specific endpoints:

datadog-mcp-server --apiKey=your_api_key --appKey=your_app_key --site=datadoghq.com --logsSite=logs.datadoghq.com --metricsSite=metrics.datadoghq.com

Note: Site arguments don’t need https:// - it will be added automatically.

Regional Endpoints

Different Datadog regions have different endpoints:

• US (Default): datadoghq.com
• EU: datadoghq.eu
• US3 (GovCloud): ddog-gov.com
• US5: us5.datadoghq.com
• AP1: ap1.datadoghq.com

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)"
      ]
    }
  }
}

For more advanced configurations with separate endpoints for logs and metrics:

{
  "mcpServers": {
    "datadog": {
      "command": "npx",
      "args": [
        "datadog-mcp-server",
        "--apiKey",
        "<YOUR_API_KEY>",
        "--appKey",
        "<YOUR_APP_KEY>",
        "--site",
        "<YOUR_DD_SITE>",
        "--logsSite",
        "<YOUR_LOGS_SITE>",
        "--metricsSite",
        "<YOUR_METRICS_SITE>"
      ]
    }
  }
}

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:

1. Your API key and Application key are correct
2. The keys have the necessary permissions to access the requested resources
3. Your account has access to the requested data
4. You’re using the correct endpoint for your region (e.g., datadoghq.eu for EU customers)

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
• Endpoint mismatches: Verify that service-specific endpoints are correctly set if you’re using separate domains for logs and metrics

License

MIT