deployment & devops向けの厳選されたMCPサーバーコレクションをご覧ください。3455個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Enables secure shell command execution for Large Language Models (LLMs).
Provides persistent memory storage for Infrastructure-as-Code (IaC) components, focusing on version tracking and relationship mapping.
Enables secure execution of Laravel Artisan commands through AI assistants using the Model Context Protocol.
Enables LLMs and intelligent systems to interact with Litmus Edge for device configuration, monitoring, and management.
Enables seamless integration with Apache CloudStack APIs through the Model Context Protocol.
Normalizes GraphQL, JSON-RPC 2.0, and Cap'n Proto requests into Model Context Protocol (MCP) format via a multi-protocol edge proxy.
Enables robust, high-performance browser automation on ARM64 architectures, designed to overcome limitations of traditional tools for autonomous testing and AI development on budget hardware.
Connects AI assistants to the Coolify platform by providing comprehensive access to all its API endpoints via the Model Context Protocol.
Facilitates publishing MCP servers to the MCP Registry with expert guidance.
Manages and monitors network bandwidth and device connections via an AI-accessible API, leveraging EvilLimiter's capabilities.
Provides a comprehensive set of 172 tools, agents, and commands to transform Claude Desktop into a powerful development command center.
Integrates with StackHawk's security scanning platform to provide security analytics, YAML configuration management, and threat surface analysis for LLMs and IDEs.
Provides a multi-agent and large language model platform for stock analysis and learning, specifically tailored for Chinese users.
Empower AI agents to connect and interact with any device, protocol, or network through a unified interface.
Empowers Site Reliability Engineers with AI/ML-driven observability, predictive analytics, and automated diagnostics across Kubernetes, OpenShift, and Tekton environments.
Enrich OpenTelemetry traces with AI agent-ready context for autonomous incident diagnosis and resolution across JVM backends and browser frontends.
Expose the Sevalla PaaS API to AI agents through a streamlined two-tool Model Context Protocol (MCP) server.
Empowers AI assistants and MCP clients to manage GoClaw AI gateway infrastructure.
Empower AI agents to manage remote servers by interacting with local tmux sessions, especially in complex jump-host environments.
Establishes self-hosted, end-to-end encrypted tunnels for webhooks, AI pipelines, and local development with advanced inspection and tracing capabilities.
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