This MCP server implementation provides integration with Datadog's API, enabling AI assistants to manage and retrieve incident information. Developed by winor30, it offers tools for listing and retrieving Datadog incidents, with plans for future expansion to cover more Datadog resources. Built using TypeScript and leveraging the Datadog API client, the server focuses on incident management capabilities. It is particularly useful for AI applications that need to monitor and respond to system incidents or integrate Datadog's observability data into their workflows.
winor30