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。3452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。
Implements a Model Context Protocol (MCP) server for Kubernetes and OpenShift, enabling seamless interaction and management of Kubernetes resources.
Deploys HTML content to EdgeOne Pages and provides a publicly accessible URL.
Provides an MCP server for programmatically managing n8n workflows.
Enables AI assistants to query and analyze Prometheus metrics through standardized Model Context Protocol (MCP) interfaces.
Manage Docker containers and compose stacks through natural language with Claude AI.
Connects to Kubernetes, providing a Model Context Protocol (MCP) server for interacting with Kubernetes resources.
Enables agentic AI workflows for developers using Docker containers and Markdown prompts.
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.
Manages the lifecycle of plugins for the Dify API server, supporting local, debug, and serverless runtimes.
Manage, govern, and optimize third-party API consumption across applications and AI agent workloads at scale.
Enables large language models to securely read, manage, and operate Salesforce resources.
Orchestrates production-ready AI systems, enabling organizations to deploy, manage, and scale AI with real Google API integrations and agent-optimized architecture.
Enables AI assistants to interact with Argo CD applications and resources through natural language.
Enables AI assistants in Cursor, VS Code, Claude Code, or any MCP-enabled IDE to autonomously manage Home Assistant configurations, automations, dashboards, and themes using natural language.
Streamline the deployment of applications and management of multi-cloud infrastructure for both AI agents and humans.
Enhances AI agents and integrated development environments with an open-core, self-improving context compression and code search suite.
Detects Python security vulnerabilities, dead code, and code quality issues with high precision using hybrid static analysis and optional local LLM agents.
Provides an architectural intelligence layer for AI coding agents, offering structural graph analysis, architecture governance, and multi-agent orchestration.
Empower AI agents with custom skills by providing sets of tools, prompts, and configurations through portable playbooks.
Build, orchestrate, and run autonomous multi-agent AI systems with memory, skills, and schedules across numerous LLM providers.
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