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。1104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。
Kubernetes
Manages Kubernetes clusters using kubectl.
MCPez
Simplifies the management, configuration, and monitoring of backend services through a web-based platform.
Vercel Adapter
Enables serverless deployment of MCP tools as edge functions using Vercel Functions.
ToolBox
Automates tasks with an AI-powered platform for developing and deploying modular tools.
Shell Command
Executes shell commands securely within an isolated Docker container using the Model Context Protocol (MCP).
Install
Empowers AI agents to install, configure, and manage Model Context Protocol (MCP) servers with natural language commands.
Mcpenetes
Manages configurations for multiple Model Context Protocol (MCP) servers and applies them across various clients.
JMX
Enables AI assistants to monitor and manage Java applications via JMX through natural language, providing real-time MBean discovery and operation execution.
Super Windows CLI
Provides unrestricted system access to Windows environments via a command-line interface.
Seq
Provides Model Context Protocol (MCP) access to Seq's API endpoints for interacting with a logging and monitoring system.
Tox Testing
Executes tox commands to run Python tests within a project using pytest via the Model Context Protocol (MCP).
Mysql
Provides an MCP server for interacting with MySQL databases using read-only and test-execute queries.
Pprof Agent
Collects Go runtime profiling data via the Model Context Protocol (MCP).
Argo
Executes Argo Workflows via a lightweight JSON-RPC interface.
Reloader
Enables hot-reloading for Model Context Protocol (MCP) servers, allowing dynamic tool loading and instant feedback during development.
GHAS
Provides access to GitHub Advanced Security alerts for repositories.
Vet Action
Enables policy-driven vetting of open source dependencies within GitHub workflows to actively protect against vulnerabilities and malicious components.
Django Migrations
Manages Django migrations in distributed environments by wrapping migration commands as Model Context Protocol (MCP) endpoints.
PagerDuty
Exposes PagerDuty API functionality for use by Large Language Models.
Dokploy
Enables natural language control over cloud infrastructure through an AI-powered interface to the Dokploy platform.
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