Datadog · MCP servers

Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.

cursor/plugins

Use Datadog MCP tools to investigate logs, metrics, traces, and incidents for the Speakeasy project.

speakeasy-api/gram

Bootstrap evaluators from production traces — by default propose online LLM-judge evaluators and, after you confirm, create them in Datadog as disabled drafts (never auto-enabled); on request emit…

datadog-labs/agent-skills

Audit what the Bits AI assistant (MCP server) has done in your Datadog org — tool calls by user, resources accessed, and anomaly flags for AI governance.

datadog-labs/agent-skills

Investigate a monitoring alert end-to-end. An agent skill from c0x12c/ai-toolkit.

c0x12c/ai-toolkit

Create a structured on-call log by pulling alerts from monitoring and writing a summary to your team's wiki.

c0x12c/ai-toolkit