Discover our curated collection of MCP servers for deployment & devops. Browse 3446 servers and find the perfect MCPs for your needs.
Enables AI assistants to interact with and manage Google Cloud Platform resources using natural language.
Enables AI assistants to execute AWS CLI commands in a secure, containerized environment using the Model Context Protocol (MCP).
Manage Proxmox hypervisors through a Model Context Protocol server, providing a clean interface for nodes, VMs, and containers.
Securely executes Kubernetes commands from AI assistants like Claude by acting as a Model Context Protocol (MCP) server.
Automates browser testing and integrates with Cloudflare Workers and Browser Rendering.
Enables AI assistants to interact with Argo CD applications through natural language.
Exposes a UniFi Network Controller as a set of programmable tools accessible via the Model Context Protocol (MCP).
Generates MCP tool definitions directly from OpenAPI specifications, enabling AI agents to access APIs described by standard specifications.
Provides a high-performance Model Context Protocol (MCP) server for headless terminal interactions.
Integrates Zabbix monitoring capabilities with AI assistants and MCP-compatible tools, enabling comprehensive control over hosts, items, triggers, and problems.
Enables Claude to interact with ServiceNow instances by providing a Model Completion Protocol server implementation.
Manages Railway account resources and automates workflows through a local Model Context Protocol server.
Manage AWS infrastructure using natural language commands through an intelligent AI-powered system.
Empower Cursor AI to autonomously manage Home Assistant configurations, automations, and systems using natural language.
Empowers AI assistants with specialist DevOps agents to manage infrastructure and services with integrated security and reliability guidance.
Provides persistent, cognitive memory for AI agents and edge devices, utilizing a 3-tier memory model, Hebbian learning, and a knowledge graph.
Enables LLM clients to perform read-only Linux system administration, diagnostics, and troubleshooting remotely on RHEL-based systems.
Captures and manages application errors with Airbrake/Sentry compatibility and a PostgreSQL backend.
Generates and reviews architecture specifications using a multi-repository code graph and AI intelligence for backend development teams.
Provides persistent, consensus-validated memory infrastructure for AI agents that integrates with any large language model.
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