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 AI assistants to query and analyze Kong Gateway configurations, traffic, and analytics through a Model Context Protocol (MCP) server.
Enables app management, build operations, and artifact management for the Bitrise API.
Exposes the Keycloak admin client as a Model-Context Protocol (MCP) server.
Launches an MCP server to act as a gateway to Trivy vulnerability scanning.
Enables AI systems and developers to create, manage, and deploy Model Context Protocol (MCP) servers using natural language.
Provides a graphical interface to connect and deploy various tools for Xiaozhi AI, simplifying service integration and enabling extensive PC control.
Enhances Graphiti's memory repository service by providing asynchronous parallel processing, broader AI model compatibility, and a comprehensive visual management platform for AI agents.
Integrates AI agents with Magento 2 development environments to automate and simplify various administrative and coding tasks.
Facilitates interaction between MCP clients and Prefect orchestration resources, enabling monitoring, control, and debugging of workflows.
Provides a self-healing AI agent that automatically adapts, fixes itself, and expands capabilities at runtime through hot-reload, RAG memory, and multi-protocol servers.
Automate kit workflows with a lightweight, high-performance, and flexible engine for cloud or self-hosted environments.
Streamline SSH connections with a powerful terminal user interface and advanced management capabilities.
Locally manage, provision, and automate Belkin Wemo smart home devices without relying on cloud services.
Provides AI-powered monitoring and full operational capabilities for VMware vCenter and ESXi environments.
Streamlines the containerization workflow for applications, offering AI-powered assistance for building, scanning, and deploying Docker containers through VS Code and other compatible tools.
Bridges Claude Chat and Claude Code, enabling remote code generation and management from any device.
Traces GPU workloads from Linux kernel events through CUDA API calls to Python source lines using eBPF for comprehensive causal observability.
Generates a function-level dependency graph across multiple programming languages, providing deep code intelligence for AI agents, developers, and CI/CD pipelines.
Automates browser interactions with a custom Firefox build in Docker, utilizing real OS-level input to evade bot detection and offering control via HTTP API or MCP server.
Coordinates diverse AI coding assistants to collaborate on complex software development tasks through sequential workflows or a multi-agent team runtime.
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