"Resources and Information about DevOps Practices" matching MCP servers:

Enables AI-assisted DevOps by exposing scoped, role-based tools to inspect and remediate a Docker app stack, with audit logging and allow-listed commands for safe incident response.

Enables querying local MySQL databases and managing Docker containers (listing, logs) through natural language via the Model Context Protocol.

Enables AI assistants to interact with local Docker containers, Kubernetes clusters, and system logs using the Model Context Protocol.

Enables AI agents to securely manage Linux, Docker, Kubernetes, and SSH infrastructure through MCP with permission control, audit logging, and dangerous command filtering.

Enables Docker container management through natural language conversations, including deployment, health monitoring, dependency resolution, auto-redeployment on file changes, and environment snapshots.

A Model Context Protocol server integrating DevOps tools for GitHub, Docker, and filesystem operations.

Enables comprehensive DevOps infrastructure management through tools for Jenkins, Ansible, Terraform, Kubernetes, and Docker operations. Features a sophisticated memory system for context retention and provides validation, generation, and optimization capabilities across DevOps workflows.

Enables AI agents to query build/deploy status and request operations on a self-hosted Docker/Compose deployment platform, with Observer and Operator skills and approval-based write actions.

Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.

A Model Context Protocol server that provides integration with the Coolify API, enabling DevOps teams to manage Coolify deployments, applications, services, and servers through MCP tools.

Connects MCP-compatible coding agents to VMware vCenter to query information about virtual machines, hosts, clusters, datastores, datacenters, and networks.

MCP server for managing Foreman hosts and infrastructure. Enables listing, searching, and getting detailed information about hosts, organizations, locations, subnets, domains, and more via natural language.

Enables AI assistants to manage VNG Cloud infrastructure including compute, storage, networking, and Kubernetes resources through natural language commands.

Enables AI models to securely query and manage virtual machines and virtualized resources via the libvirt API through the Model Context Protocol.

Enables management of AutoDL GPU resources including instance lifecycle, balance queries, elastic deployments, and notifications through typed MCP tools.

This MCP provides comprehensive tools and resources for MSX software development, testing, and automation through openMSX emulator.

An MCP server that enables interaction with Kubernetes resources through natural language interfaces like Goose CLI, allowing users to get, read, and patch Kubernetes resources.

Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

Exposes VMware vROps resources, metrics, and alerts as MCP tools, allowing an LLM client to directly query monitored infrastructure.

Manage Komodo DevOps platform resources (servers, containers, stacks, builds) directly from AI assistants via MCP protocol. Supports OAuth 2.1 and easy Docker Compose deployment.