Deployment & DevOps MCPサーバー
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。1035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。
Docker
Enables AI assistants to interact with Docker via the Model Context Protocol (MCP).
Ansible Tower
Enables Large Language Models (LLMs) to interact with Ansible Tower.
HAProxy
Enables LLMs to interact with and manage HAProxy instances via the Model Context Protocol (MCP).
PipeCD Integration
Enables integration and management of applications and deployments for PipeCD using the Model Context Protocol (MCP).
Workers AI
Facilitates the integration of Model Context Protocol (MCP) server tools within Cloudflare Workers.
GCP Cloud Tools
Enables AI assistants to interact with and manage Google Cloud Platform resources through a standardized interface.
Git
Manages Git operations on local repositories through an MCP server.
Vet Action
Enables policy-driven vetting of open source dependencies within GitHub workflows to actively protect against vulnerabilities and malicious components.
Homebrew
Provides comprehensive brew support for installing, upgrading, searching, and maintaining macOS packages.
Kubernetes
Enables AI tools to interact with Kubernetes clusters using natural language, facilitating advanced automation and interaction.
Oss
Uploads files to Alibaba Cloud OSS, supporting multiple configurations and directory specification.
Databridge
Locates the path to the uv executable.
Vault
Enables LLMs and other Model Context Protocol (MCP) clients to interact with HashiCorp Vault for secure secret and policy management.
CLI Manager
Simplifies the management of multiple Model Context Protocol (MCP) servers through a command-line interface.
LaunchDarkly
Provides an official Model Context Protocol (MCP) server for LaunchDarkly.
Beam
Manages Apache Beam data pipelines across different runners using a standardized Model Context Protocol (MCP) API.
SuperGateway
Enables running Model Context Protocol (MCP) stdio servers over Server-Sent Events (SSE) and SSE over stdio, serving as an AI gateway.
Selector AI
Implements the Model Context Protocol (MCP) for Selector AI, providing a streaming-capable server and interactive client.
Practices
Enables standardized Git branch management and Jira integration for development teams.
TeamCity
Exposes JetBrains TeamCity as structured AI-ready resources and tools for large language model (LLM) agents and integrated development environment (IDE) plugins.
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