D
Install Command
uvx --from git+https://github.com/shelfio/datadog-mcp.git datadog-mcpClaude Desktop Config
{"command": "uvx", "args": ["--from", "git+https://github.com/shelfio/datadog-mcp.git", "datadog-mcp"], "env": {"DD_API_KEY": "<key>", "DD_APP_KEY": "<key>"}}Datadog Monitoring is an officially maintained MCP server in the Monitoring & Observability category, developed by Shelfio. It runs locally on your machine, keeping your data private and giving you full control over the connection. Adding it to your setup expands what Claude can do without any extra coding.
About Datadog Monitoring
Allows AI agents to retrieve system metrics, search logs and check incident status from the Datadog observability platform.
Who Should Use Datadog Monitoring?
- 1Extend Claude and other AI assistants with new capabilities
- 2Automate tasks that previously required manual steps
- 3Connect your existing tools to an AI workflow
- 4Reduce repetitive work by letting AI interact with your services
How to Install Datadog Monitoring
Before you start
You will need Python 3.10+ and the uv package manager — install uv with `pip install uv`.
- 1Ensure `uv` is installed, then run the command above in your terminal.
- 2Add the server to your Claude Desktop config and restart the app.
The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.
How Datadog Monitoring Compares
✦It is an officially maintained server — unlike community alternatives, it is built and supported by the original project team, ensuring compatibility with upstream changes.
✦It runs entirely on your local machine, so no data leaves your environment — important for teams with privacy or compliance requirements.
✦It is distributed as an npm package, making version management and updates straightforward with a single `npm update` command.
Tags
DatadogMonitoringSREMetrics