Monitoring Servers

Integrates with ifconfig.me to fetch and provide public IP address information for network diagnostics and geolocation services.

Integrates with Optimizely DXP deployment operations through PowerShell to manage environment-to-environment deployments, database operations, storage containers, and edge logs with intelligent validation and deployment path guardrails.

Alibaba Cloud

Official

Provides a bridge to Alibaba Cloud services for managing ECS instances, viewing resources, monitoring metrics, and configuring VPC networks through natural language commands

Integrates with Google Cloud services to provide direct access to Logging, Spanner, and Monitoring resources within conversations through authenticated connections.

Rootly

Official

Integrates with Rootly's incident management API to enable real-time production incident resolution directly within code editors, focusing on core endpoints with optimized pagination to prevent context overflow.

Integrates with BugBug's test automation platform to manage browser tests, suites, profiles, and execution runs with real-time monitoring, smart test execution by name or UUID, wait-for-completion polling, recent run analysis, and detailed error reporting with screenshots for QA teams and DevOps pipelines.

Provides real-time system monitoring capabilities through psutil, enabling access to CPU usage, memory statistics, disk information, network status, running processes, and system uptime data with cross-platform compatibility and performance optimization.

Integrates with Apache Airflow clusters through REST API to provide complete workflow management including DAG operations, task monitoring, pool and variable management, XCom data access, and performance analytics with event logging and import error tracking.

Grafana

Official

Grafana MCP server is a Model Context Protocol (MCP) adapter that exposes a Grafana instance (and its ecosystem: datasources, alerts, incidents, OnCall, annotations, etc.) as a set of small, intention-focused tools for LLM-based assistants and other MCP clients. It lets AI agents safely inspect, query, and (optionally) modify Grafana resources using compact, predictable operations instead of asking the LLM to guess APIs or URLs.

Integrates with Cribl Stream deployments to enable management of configurations, pipelines, sources, and system metrics for DevOps teams and data engineers monitoring data processing workflows.