deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 3452개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Deploys Python scripts to Modal.com from within Claude.
Proxies communication between a local MCP environment and a central Resource Hub for configuration and management.
Manages RocketMQ configurations and interactions through a dedicated server.
Implements an MCP server for Google Cloud resources using Go.
Enables interaction with AWS CloudWatch resources, exposing log groups, queries, and alarms via the MCP protocol.
Provides a pre-configured development environment with a focus on Python, CLI tools, and containerization.
Provides a low-latency, clustered key-value store with HTTP and WebSocket interfaces, designed for cloud-native deployment.
Transforms any shell command into an AI-callable Model Context Protocol (MCP) server tool using simple YAML configurations.
Automate Looker workflows, CI pipelines, and AI-assisted LookML development with a lightweight CLI and MCP server.
Exposes LangChain agent capabilities as a production-ready server via the Model Context Protocol.
Performs AI-powered, full security checks using a dockerized pentesting suite.
Generate infinite-length, high-quality talking head videos from a single image and audio input.
Provides programmable access to Zabbix monitoring data and management features for automation, integrations, and AI-assisted workflows.
Provides a lightweight, Windows-native tool server for Claude Desktop, offering essential capabilities for shell execution, file management, process control, and system information.
Automates and troubleshoots complex multi-vendor, multi-protocol, multi-area network scenarios using Claude AI, Python, and Scrapli.
Provides a sandboxed Linux container runtime for AI agents, integrating an embedded Model Context Protocol (MCP) resolver.
Enables Claude Code to connect to remote SSH servers, execute commands, and automate deployments without leaving the conversation.
Provides semantic context about Project Bluefin systems to AI assistants, enabling informed troubleshooting and automation.
Provides a unified mesh control layer for executing commands, transferring files, and synchronizing configurations across distributed infrastructure.
Orchestrates autonomous coding agents, enabling them to tackle complex development goals from inception to completion without human intervention.
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