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。2591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。
Manages Apache Beam data pipelines across different runners using a standardized Model Context Protocol (MCP) API.
Manages workflows and Docker image building for Bio-OS instance platforms.
Deploys n8n for automation using Docker and the n8n Community Proxy, enabling free cloud hosting and optional Cloudflare Tunnel integration.
Provides a high-performance face embedding server utilizing ONNX Runtime for scalable face recognition applications.
Monitors worker productivity and automates termination based on predefined criteria.
Sends Gotify push notifications from an MCP server environment.
Generates MCP-compatible server components dynamically from OpenAPI specifications.
Defines and executes custom command-line operations for a server using templated configurations.
Routes Model Context Protocol (MCP) tool calls intelligently to multiple backend servers.
Automatically analyzes error, warning, and critical logs using AI agents to detect patterns, classify incidents, and recommend fixes.
Provides extensive network probing and diagnostic capabilities from multiple global vantage points.
Provides a professional template and framework for building robust Model Context Protocol (MCP) servers in Python.
Integrates AI systems and coding assistants with JFrog Platform services to provide real-time, actionable development insights.
Unify diverse tools and capabilities through the Model Context Protocol, allowing AI systems to interact with specialized services with live progress updates.
Integrates Large Language Models (LLMs) with Mackerel for enhanced monitoring and management capabilities.
Manage MikroTik routers using natural language processing within the Cursor IDE for comprehensive network automation.
Enables AI agents like Claude to interact with Cisco Nexus Dashboard APIs for intelligent network automation and management.
Bridges AI assistants with Home Assistant, enabling smart home control and automation through the Model Context Protocol.
Enables stateful SSH connections and command execution through the Model Context Protocol (MCP) for AI-assisted operations.
Enables Large Language Models to interact with and manage Kafka clusters.
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