"A server for Datadog MCP integration" matching MCP servers:

Enables AI assistants to interact with Datadog APIs for querying metrics, logs, events, monitors, and APM traces.

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.

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 integration with Datadog APIs to monitor and retrieve information about monitors, metrics, dashboards, logs, events, and incidents through the Model Context Protocol.

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 AI assistants to search logs, query metrics, manage dashboards, analyze APM traces, and control monitors via Datadog APIs.

Enables querying and analyzing Datadog logs through search, aggregation, and index listing.

Enables AI assistants to access full Datadog observability, including log search, APM trace filtering, smart sampling, and cross-correlation between logs, traces, and metrics.

for tracing and monitoring

Datadog MCP — 165 tools for metrics, monitors, logs, APM, RUM, incidents, CI/CD, fleet automation. Includes incident-triage-snapshot aggregation tool and 4 workflow Prompts.

Enables natural-language investigation of Datadog data including logs, metrics, monitors, traces, hosts, dashboards, events, and incidents, all through read-only API access.

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 Model Context Protocol server that enables AI assistants to interact with Datadog's observability platform through natural language.

Enables AI assistants to query Datadog metrics, logs, monitors, security signals, and billing data through natural language.

Enables AI assistants to interact with Datadog's observability platform via natural language, covering metrics, logs, APM, monitors, dashboards, incidents, and infrastructure.

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.

An MCP server that provides comprehensive read/write access to Datadog APIs, enabling management of monitors, dashboards, logs, incidents, and more via natural language commands.

Enables interaction with Datadog APIs through natural language, supporting full CRUD operations on metrics, monitors, dashboards, logs, infrastructure, and more.

Retrieves logs from Datadog for a specified Kubernetes cluster and namespace, enabling analysis by Claude through natural language queries.