deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2344개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides a scalable server implementation for managing AI interactions, conversations, and monitoring.
Deploys and manages server implementations for Columbia's Model Context Protocol.
Enables AI tools to interact with and control Jenkins for tasks like job triggering and status retrieval.
Deploys an externally hosted Agent.AI MCP server on Vercel.
Integrates a Model Context Protocol (MCP) server directly into Next.js applications using the Vercel MCP Adapter.
Integrates the GitLab API through a production-ready Model Context Protocol (MCP) server, offering comprehensive access to repository, merge request, issue, and commit operations.
Enables secure execution of Docker commands on a host system for clients operating in isolated environments, such as language models within containers.
Calculates detailed subnet information and provides network planning advice.
Enables AI assistants and other clients to securely execute PowerShell commands and retrieve results.
Retrieves details about chess players.
Integrate Jenkins CI/CD workflows and management directly into AI assistants via the Model Context Protocol.
Deploy a Model Context Protocol server on Vercel Functions, easily integrating custom tools, prompts, and resources.
Facilitates comprehensive Opsgenie alert management, including listing, creating, acknowledging, and closing alerts, through a Model Context Protocol server.
Enables AI assistants to programmatically interact with Databricks workspaces, providing extensive management and analytics capabilities.
Exposes a production-ready Model Context Protocol server, offering a sophisticated scheduler and executor workflow for autonomous agents.
Automates the setup, configuration, and lifecycle management of MCP servers for AI agents.
Provides an AI-enhanced multi-host SSH server for managing remote operations, background jobs, and secure file transfers.
Automates system tasks and provides advanced debugging capabilities for AI assistants.
Manages homelab Kubernetes (K3s) clusters, Pi-hole DNS, and media services with a security-first, AI-driven interface.
Generates AI images using Runware's API, supporting various models and detailed parameter control through the Model Context Protocol.
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