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。2221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。
Provides a Model Context Protocol (MCP) server for comprehensive management of feature flags within the Bucketeer platform.
Integrate Garmin Connect fitness and health data with AI clients and other MCP-compatible applications.
Integrates with Hypefury to enable social media post scheduling and authentication.
Automatically guards projects against known security vulnerabilities in dependencies using the OSV.dev database.
Provides a secure, unified Model Context Protocol (MCP) gateway to democratize AI agent access to AWS resources.
Integrates the Exely Distribution API with a Large Language Model (LLM) to enable hotel booking interactions through a Telegram bot.
Enables natural language interaction with Homebrew package manager.
Enables AI assistants to interact with and manage Harvester HCI clusters via natural language.
Manages Alibaba Cloud Realtime Compute for Apache Flink resources through a standardized Model Context Protocol (MCP) interface.
Manages Tailscale networks with a FastMCP 2.12 compliant server, offering extensive control and observability.
Diagnoses and fixes GitHub Actions workflow failures through a structured decision tree using the GitHub API.
Manages and registers Model Context Protocol services to facilitate AI agent interactions.
Integrates AI assistants with Coolify Self-hosted instances for streamlined application deployment, management, and monitoring.
Integrates with Terraform Registry APIs to enable advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.
Provides a Model Context Protocol (MCP) server to determine daily production deployment suitability with humorous developer-centric reasons.
Integrates Alibaba Cloud operations with Amazon Q CLI, enabling management of various services like ECS, VPC, and RDS.
Provides humorous and localized deployment advice to prevent AI coding agents from deploying applications on unsuitable days.
Provides read-only, structured access to Velero backup and schedule resources within Kubernetes clusters for AI agents via the Model Context Protocol.
Facilitates remote server management by executing commands via SSH using the Model Context Protocol (MCP).
Provides a quickstart boilerplate for building Model Context Protocol servers with Python and FastMCP, optimized for Render deployment.
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