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。2214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。
Automates common Git operations and GitHub interactions through a Model Context Protocol server.
Facilitates remote server management by executing commands via SSH using the Model Context Protocol (MCP).
Integrates the IBM Cloud CLI with Claude Code, providing over 80 tools for managing a wide range of IBM Cloud services and operations.
Enables AI assistants to monitor web services, APIs, and HTTP endpoints with enterprise-level security.
Provides comprehensive monitoring and analysis of Precision Time Protocol (PTP) systems within OpenShift clusters.
Enables AI assistants to interact with the Sentry API for error data analysis, project management, and application performance monitoring.
Provides a Model Context Protocol (MCP) server for Apache Airflow, integrating Bearer token authentication for seamless operation with Astronomer Cloud and standalone Airflow instances.
Enables natural language interaction with Homebrew package manager.
Executes commands on local and remote hosts via SSH, providing a powerful interface for AI models and applications with enhanced session management and reliability.
Executes shell commands through a simple Model Context Protocol (MCP) server.
Provides a robust backend server for managing and tracking financial expenses.
Enables management of Laravel Forge resources through a standardized MCP client interface.
Enables AI assistants to securely apply unified diff patches to files, offering comprehensive security validation and error recovery workflows.
Enhances Claude AI's Infrastructure-as-Code (IaC) capabilities by providing persistent memory storage with version tracking and relationship mapping.
Sends webhook notifications when called via Model Context Protocol (MCP).
Facilitates comprehensive Google Cloud Platform operations by querying logs, monitoring services, and debugging deployments through the gcloud CLI.
Provides a natural language interface for Kubernetes troubleshooting and analysis powered by AI.
Bridges communication bi-directionally between MCP and HTTP, designed for modern microservices architectures with a focus on scalability, reliability, and observability.
Enables the creation of scalable Model Context Protocol (MCP) servers, supporting flexible deployment from CLI to horizontally scaled HTTP services.
Connects Uptime Agent monitoring systems to AI assistants like Claude using the Model Context Protocol (MCP).
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