Datadog MCP Server
Allows querying metrics, searching logs, tracing APM data, managing monitors and alerts, analyzing dashboards, investigating incidents, and viewing infrastructure through Datadog's observability platform.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
A Model Context Protocol (MCP) server that enables AI assistants (GitHub Copilot, Claude, etc.) to interact with Datadog's observability platform. Query metrics, search logs, trace APM data, manage monitors/alerts, analyze dashboards, and investigate incidents — all through natural language.
Monorepo Structure
packages/
datadog-server/ # MCP server (16 tools)
datadog-vscode-extension/ # VS Code extensionRelated MCP server: MCP Datadog Server
Quick Start
As a standalone MCP server
# Install
npm install -g @fazorboy/datadog-mcp-server
# Set environment variables
export datadog_DD_API_KEY="your-api-key"
export datadog_DD_APP_KEY="your-app-key"
# Run
datadog-mcp-serverAs a VS Code extension
Install the VSIX from releases, set your API keys in Settings > Datadog MCP, and the server appears in your MCP Servers panel automatically.
Documentation
Server Documentation — All 16 tools, configuration, API reference
VS Code Extension — Installation, configuration, usage
Usage Examples
Once the MCP server is running (standalone or via the VS Code extension), ask your AI assistant:
Prompt | Tool Used |
"Show me CPU metrics for |
|
"Search logs for errors containing 'timeout' in service |
|
"List all monitors that are currently in alert state" |
|
"Create a monitor that alerts when |
|
"Show me the APM traces for slow requests (>2s) in |
|
"What services depend on |
|
"List all dashboards matching 'infrastructure'" |
|
"Get the widgets and layout for dashboard |
|
"Show me all hosts with the tag |
|
"Mute the 'High Error Rate' monitor for 2 hours for a deploy" |
|
License
This server cannot be deployed
Maintenance
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