Enables AI assistants to query and manage Datadog observability data including metrics, logs, traces, and monitors through natural language. Supports read-only operations by default for security.
Enables interaction with Datadog APIs through automatically generated tools from Postman collections. Supports monitoring operations, log management, metrics submission, and other Datadog functionality through natural language.
The MCP server provides an interface to the Datadog API, enabling seamless management of incidents, monitoring, logs, dashboards, metrics, traces, and hosts. Its extensible design allows easy integration of additional Datadog APIs for future expansions.
Enables interaction with Datadog APIs through natural language, supporting full CRUD operations on metrics, monitors, dashboards, logs, infrastructure, and more.
Enables integration with Datadog APIs to monitor and retrieve information about monitors, metrics, dashboards, logs, events, and incidents through the Model Context Protocol.
Enables monitoring and querying of Datadog metrics for Kubernetes clusters, APM traces, infrastructure hosts, and databases through a unified interface.
Enables comprehensive Datadog monitoring capabilities including CI/CD pipeline management, service logs analysis, metrics querying, monitor and SLO management, service definitions retrieval, and team management through Claude and other MCP clients.
Enables interaction with Datadog's monitoring and observability platform through the MCP protocol. Supports incident management, monitor status checks, log searches, metrics queries, APM traces, dashboard access, RUM analytics, host management, and downtime scheduling.
A comprehensive read-only MCP server for Datadog, providing 117 tools to query logs, APM, metrics, monitors, dashboards, SLOs, and more, with zero write capabilities for safe AI integration.
Enables AI assistants to interact with Datadog's observability platform via natural language, covering metrics, logs, APM, monitors, dashboards, incidents, and infrastructure.
A Model Context Protocol (MCP) server that provides comprehensive Datadog monitoring capabilities, enabling Claude to manage CI/CD pipelines, analyze logs, query metrics, and handle monitors and SLOs.
Enables AI assistants to interact with DataDog's observability platform through a standardized interface. Supports monitoring infrastructure, managing events, analyzing logs and metrics, and automating operations like alerts and downtimes.