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Datadog MCP servers and agent skills

18 MCP servers and 94 agent skills connect AI assistants to Datadog. Includes Datadog's official listings.

Cloud monitoring and observability service for infrastructure, applications, logs and security.

18 MCP servers94 skills72 officialDatadog

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All listings

112

Sorted: official first, then quality and activity.Show all, including less active listings

How AI connects to Datadog

Datadog's HTTP API returns JSON and is authenticated with an API key header, plus an application key for many endpoints; official client libraries exist for Java, Python, Ruby, Go, TypeScript and Rust. Datadog documents its own remote MCP server, reached at an endpoint per Datadog site (for example mcp.datadoghq.com/v1/mcp), where tool groups are chosen with a toolsets parameter. OAuth 2.0 is the recommended sign-in, with access tokens or API and application keys as alternatives.

From the vendor's documentation: Datadog API Reference, Set Up the Datadog MCP Server

Guides:MCP servers vs agent skillsConnecting MCP servers to AI clients

Questions

Is there an official Datadog MCP server?
Yes. 72 listings for Datadog are published by the tool's vendor, marked Official in the table above with a link to the evidence.
Can Claude use Datadog?
Yes, through an MCP server. 18 MCP servers connect Claude and other AI assistants to Datadog; each listing shows how it connects and how to install it.
Are there agent skills for Datadog?
Yes: 94 skills are listed. Skills are folders of instructions (and sometimes scripts) that an agent loads when a task needs them.
Which AI clients do Datadog servers and skills support?
The listings on this page most often document claude-code, cursor, codex, gemini-cli. Each listing shows the clients its own documentation names.