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。2597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 interact with Jenkins CI/CD servers via a Model Context Protocol (MCP) interface.
Enables Docker container management via natural language through a custom ChatGPT interface.
Enables secure remote execution of Rails console commands over SSH for data wrangling and analysis.
Facilitates the creation of MCP servers for the Goose framework.
Integrates the Model Context Protocol (MCP) server with Nautobot, enabling AI assistants to interact with network data.
Simplifies Kubernetes management through conversational AI, enabling real-time diagnostics and resource monitoring.
Provides an MCP server to streamline interactions with FFmpeg for media processing tasks.
Enables real-time communication using Server-Sent Events (SSE) based on the Model Context Protocol (MCP).
Manage multiple Kubernetes clusters from a centralized control plane.
Integrates with KubeSphere APIs to enable resource retrieval.
Orchestrates a self-spawning team of AI coders to develop software projects using multi-agent coordination and a web-based dashboard.
Connects Signoz instances with AI assistants and other MCP-compatible clients to enable programmatic data access and analysis.
Automates interactions with the Aptos Build platform for managing API keys and other build-related actions.
Connects AI agents and large language models with diverse scientific computing resources and datasets via a standardized protocol.
Enables AI assistants and agents to manage Linode cloud resources through natural language interaction.
Manages feature flags and configurations within ConfigCat through its public management API.
Enable natural language control of Ubuntu/Linux servers from your Windows computer via SSH connections using AI assistants.
Integrates AI Assistants with self-hosted Dynatrace Managed environments to bring observability data directly into AI-assisted workflows.
Provides a comprehensive server for controlling VMware Workstation Pro virtual machines through REST API, vmrun, and vmcli commands.
Provides over 40 advanced FFmpeg tools for comprehensive video and audio processing, analysis, and streaming.
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