23 AI tools for DevOps
Expert in backup retention policies, data lifecycle management, and disaster recovery. Optimizes storage and ensures compliance.
AI agent for creating production-ready deployment guides with step-by-step instructions, environment configurations, and rollback procedures.
Configuration guidance for Redis Cluster setup with sharding, master-replica topology, and cluster management commands.
Automate SSL certificate management with ACME protocol and Let's Encrypt for secure, compliant, and uninterrupted web services.
Python SDK skill for creating container-based hosted agents on Azure AI using ImageBasedHostedAgentDefinition with configurable CPU, memory, and tools.
Python SDK for Azure API Center that manages API inventory, metadata, versioning, deployments, and custom schemas.
Azure Resource Manager SDK for .NET that provisions and manages Application Insights components, API keys, and availability tests for application performance
Management plane SDK for provisioning and managing Azure Bot Service resources via Azure Resource Manager in .NET, supporting DirectLine, Teams, Slack, and
.NET SDK for deploying and managing Weights & Biases ML experiment tracking instances via Azure Marketplace, with managed identity and resource lifecycle
Run Dataverse tools directly in your IDE. Perform common tasks for user and security administration, data operations, and metadata exploration without
MCP server for devcontainers. Generates and configures development containers from devcontainer.json. Requires Node.js and Docker.
Cross-platform MCP server that exposes tools to list and kill OS processes via natural language, with filtering by CPU, memory, user, and name.
Manage Kubernetes clusters with this MCP server, offering full kubectl operations and read-only mode. Integrates with Claude, Gemini, and VS Code.
Golang-based MCP server that connects Claude Desktop to HashiCorp Nomad clusters via the Nomad HTTP API.
MCP server that exposes Apache Ambari cluster management tools-service control, metrics queries, configuration inspection, and alert monitoring-through natural
Manage Containerd via MCP. Lists containers, images, manages pods/containers, and provides CRI version info. Built with Rust and RMCP.
AI-assisted debugging with LLDB. Integrates LLDB debugger with Claude for natural language debugging workflows.
MCP server that installs other MCP servers from npm or PyPi, allowing you to request installation of Model Context Protocol servers.
A runnable OpenTelemetry integration example for promptfoo that demonstrates built-in tracing and observability for prompt evaluation workflows.
