Datadog
Integrates with Datadog's monitoring platform to provide access to metrics, logs, and observability data through API authentication for DevOps teams managing incident response and infrastructure monitoring workflows.
About
This Datadog MCP server by Clement Hussenot provides integration with the Datadog monitoring and observability platform, enabling AI assistants to interact with Datadog's APIs for metrics, logs, and monitoring data. Built with Go using the official MCP Go SDK and featuring OpenAPI code generation through oapi-codegen, it offers tools for accessing Datadog's monitoring capabilities with proper API key authentication and configurable site endpoints. The implementation includes comprehensive development tooling with pre-commit hooks, Spectral API linting, Docker containerization, and multi-language support through Python dependencies, making it valuable for DevOps teams and SREs who need AI-assisted monitoring workflows, incident response automation, and observability data analysis within their existing Datadog infrastructure.
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