Investigate Kubernetes resources with Datadog MCP tools

The Datadog Model Context Protocol (MCP) Server introduces a robust Kubernetes toolset, providing AI agents with read-only access to Kubernetes resources and enriched context from Datadog, without direct cluster access. This toolset addresses gaps in kubectl's capabilities by enabling agents to efficiently search, inspect, and manage Kubernetes resources across multiple clusters. The tools include features for cross-cluster searches, resource context inspection with additional metadata, and token-aware manifest retrieval, allowing platform and SRE teams to streamline investigation workflows, enhance incident triage, and enforce organizational standards. By integrating these tools, teams can efficiently manage Kubernetes environments, conduct thorough analyses, and ensure compliance with governance requirements, all while minimizing manual interventions and optimizing resource utilization.