Bring live Datadog telemetry into your AI agents with native integrations

AI agents are becoming increasingly integrated into the software development life cycle, aiding in tasks such as code generation, debugging, and incident management, but they often require context-switching due to a lack of direct access to observability data. To address this, Datadog has introduced integrations with various AI chat and coding agents, including Claude Code, ChatGPT, and Codex, through its MCP Server. These integrations provide a secure and structured interface for AI agents to query Datadog’s observability data and tools using natural language, facilitating tasks like log searches, incident lookups, and service governance without leaving their current environment. By supporting a range of platforms and offering seamless connectivity, Datadog enhances collaboration and efficiency for engineers, allowing them to manage resources, investigate production issues, and analyze telemetry data directly through their preferred AI interfaces. The integrations are designed to work across different environments, whether local or remote, employing OAuth for authentication and ensuring consistency in accessing core capabilities, while also supporting multi-org setups and role-based access control.