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。3069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。
Demonstrates the integration and usage of the GitHub API through MCP server functionality.
Manage and deploy server configurations and scripts.
Integrates AI assistants with Statsig's feature flagging and experimentation platform for comprehensive feature management.
Provides an AI-agent-driven server with a Gradio UI for penetration testing and purple team operations.
Provides a flexible server to fetch recommendations from the Taboola API.
Facilitates security scanning of container images using Kubescape CLI and offers AI-powered insights for compliance.
Generates a Multi-Agent Conversation Protocol (MCP) server from an OpenAPI specification.
Provides a clean, reusable TypeScript boilerplate for building Model Context Protocol servers.
Enables AI clients to operate GitLab pipelines through natural language commands.
Integrates OpenWebUI, Jupyter Notebook with Manim, and an MCP server into a Docker environment for AI-powered code execution and mathematical visualizations.
Enables AI assistants to interact with the Alibaba Cloud Yunxiao platform, managing various DevOps processes from code to deployment.
Automatically integrate GDPR-compliant cookie consent banners into websites with a single AI command.
Generate, validate, and persistently store AWS architecture diagrams directly from Python code using intelligent tools.
Provides a production-ready Model Context Protocol server built with Spring Boot, featuring reactive architecture, JWT authentication, and Docker containerization.
Integrates Dell OpenManage Enterprise server management with AI assistants for comprehensive monitoring and administration.
Integrates file contents into target files using various modes such as append, prepend, replace, and insert.
Centralize and manage access to multiple Model Context Protocol (MCP) servers, optimizing LLM context and configuration.
Attaches `debugpy` to live Python processes within Docker containers for enhanced debugging, log retrieval, and breakpoint planning.
Integrate AI assistants with Directum RX by providing access to metadata, development tools, and runtime operations.
Safely executes commands on a server without relying on a shell, incorporating built-in rules to prevent destructive operations.
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