Deployment & DevOps MCP Servers
Discover our curated collection of MCP servers for deployment & devops. Browse 1581servers and find the perfect MCPs for your needs.
Trunktail
Provides an intuitive desktop experience for managing containers and images using Apple Container on macOS.
Nutanix
Enables Large Language Models to interact with Nutanix Prism Central via the Model Context Protocol.
Junos
Enables viewing operational state and modifying configurations on Juniper devices running Junos.
Cursor Proxmox
Provides a comprehensive Model Context Protocol (MCP) server for managing Proxmox virtual machines and containers, enhancing AI interaction with the virtualization platform.
Ssh
Provides secure remote access and command execution via the Model Context Protocol.
Kubernetes
Enables natural language interaction with Kubernetes clusters through LLMs, simplifying resource management and deployment.
Yourware
Upload projects to the Yourware platform via a dedicated MCP server.
Roo Code Installer
Simplifies the installation and management of Roo Model Context Protocol (MCP) servers.
Ubuntu System Controller
Provides secure, controlled access for AI assistants to perform Ubuntu operating system operations.
Loxone
Enables AI assistants to control Loxone home automation systems through natural language commands.
Freshservice
Enables AI models to interact with Freshservice modules for IT service management automation.
ALECS
Enables AI assistants to manage Akamai's complete edge platform through natural language via its comprehensive suite of tools.
Kubernetes
Exposes the Kubernetes API via the Model Context Protocol (MCP).
Cli
Generates type-safe Model Context Protocol (MCP) servers from OpenAPI specifications and manages client configurations.
Cloudflare
Enables natural language interaction with Cloudflare services through IDEs and other MCP clients.
Dokploy
Enables natural language control over cloud infrastructure through an AI-powered interface to the Dokploy platform.
Myaiserv
Provides a high-performance FastAPI server implementing the Model Context Protocol (MCP) for integrating with Large Language Models (LLMs).
ADR Analysis
Provides immediate, actionable architectural insights from Architectural Decision Records (ADRs) to AI agents.
Kubernetes
Provides programmatic access and advanced management capabilities for Kubernetes clusters through the Model Context Protocol.
Akash
Bridges AI agents and the Akash Network, enabling AI models to deploy applications and manage deployments.
Scroll for more results...