Deployment & DevOps Servidores MCP
Descubre nuestra colección curada de servidores MCP para deployment & devops. Explora 1035 servidores y encuentra los MCP perfectos para tus necesidades.
Mackerel
Implements an MCP server for the Mackerel monitoring service.
Minimal
Creates a basic, Nix-encapsulated server using Python and uv.
Executable
Packages an Express server and the MCP SDK into an executable file.
DevOps Bridge
Connect DevOps platforms via a natural language interface using AI.
Tuyactl
Control Tuya smart home devices from the command line using local keys.
Nmap Integration
Provides a server-side interface for running and managing Nmap scans.
Globalping
Enables AI models to interact with a global network measurement platform through natural language.
OCI Registry
Provides an MCP server for querying OCI registries and image references.
Azdo
Integrates AI assistants with Azure DevOps for managing work items, pull requests, and wikis.
Cs2 Rcon
Manages Counter-Strike 2 game servers remotely through a Model Context Protocol (MCP) server interface.
DeployStack
Simplifies the deployment of Model Context Protocol (MCP) servers by providing a purpose-built CI/CD platform.
Tizzani Azure DevOps
Enables integration with the Azure DevOps REST API through an MCP server.
SplitMind
Orchestrates a self-spawning team of AI coders to develop software projects using multi-agent coordination and a web-based dashboard.
Slime
Encapsulates Istio MCP client/server functionality into a reusable library.
Devcontainers
Integrates Model Context Protocol (MCP) with the devcontainers CLI for managing development environments.
Mcpsshclient
Executes SSH commands with an agentic security layer to detect and prevent unsafe operations.
Princefishthrower
Provides a custom server with tools for generating prompts, issuing commands, listing repositories, and running tests.
Powergentic AZD
Deploys a TypeScript Model Context Protocol (MCP) server to Azure Container Apps using SSE transport.
Proxmox Plus
Enhances Proxmox virtualization management with complete OpenAPI integration and advanced VM lifecycle control.
Serve
Run and serve deep learning models with shell execution and containerization options.
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