发现我们为 deployment & devops 精心策划的 MCP 服务器集合。浏览 2219 个服务器,找到满足您需求的完美 MCP。
Integrates a Kubernetes MCP server with an AI-powered UI plugin, deployable via Docker Compose.
Automate comprehensive network mapping, configuration collection, and analysis from a single seed device, supporting both traditional API and AI agent integration.
Integrates with Bruno CLI to manage and execute API tests and collections.
Manages persistent terminal sessions, allowing commands to run continuously even after client disconnection, ideal for AI assistants and long-running tasks.
Executes shell commands in parallel through AI assistants, offering real-time progress and results for various system and development workflows.
Manage and deploy Scaleway Serverless Functions via the Model Context Protocol.
Provides a development template for building StreamableHttp services with flexible authentication, dynamic service registration, and customizable middleware.
Automates the generation of optimal server resource allocation, middleware combinations, system architecture, and cloud deployment strategies based on key system parameters.
Provides an MCP server for AI agents to interact with GitLab, offering extensive tools for repository, issue, merge request, and pipeline management.
Sends webhook notifications when called via Model Context Protocol (MCP).
Automates AWS infrastructure deployment using natural language commands and the Model Context Protocol.
Integrate AI assistants with Home Assistant for comprehensive control over smart home devices, automations, and system management.
Provides a server for programmatically building and flashing Zephyr microcontroller projects.
Showcases Claude's autonomous interaction capabilities within a virtual machine, offering real-time observation and control.
Provides a production-ready Model Context Protocol (MCP) server to manage Google Calendar events and Google Meet conferences with robust security and enterprise features.
Manages development server processes and log monitoring, providing a streamlined interface for AI coding agents.
Connect DevOps platforms via a natural language interface using AI.
Exposes an existing stdio Model Context Protocol (MCP) server over a websocket, simplifying programmatic interaction.
Enables Codename Goose AI agent to interact with a Minikube cluster via a Model Context Protocol (MCP) server.
Manages Jira Service Management (JSM) asset schemas via the Model Context Protocol (MCP).
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