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。1974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。
Manages authentication with secure credential management, multi-protocol support, and threat detection.
Orchestrates remote tasks and server management through SSH and SFTP connections, offering hybrid synchronous/asynchronous execution and persistent task queuing.
Integrates Elastic Cloud Serverless with the GCP Agent Development Kit via an experimental MCP server for AI agent interaction.
Provides a self-hosted server for integrating with the Europarcel API, supporting both stdio and HTTP modes for various applications.
Integrates with the Coolify self-hosted deployment platform API to manage servers, applications, and services with advanced batch operations.
Empowers large language models with secure, remote terminal command execution capabilities.
Implements a basic server for managing and controlling Master Control Program (MCP) operations.
Collects a list of issues from Sentry within an MCP server environment.
Provides a standardized interface for AI models to access a variety of jokes, including Chuck Norris and Dad jokes.
Manages and configures server environments.
Provides a governed command plane for autonomous agents to execute infrastructure tasks across data platforms, remote shells, and web services.
Automates the generation of tag-based release notes for Git repositories by analyzing differences between tags.
Facilitates comprehensive management of FiveM game servers through RCON, enabling plugin control, log monitoring, and direct command execution.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers, enabling AI agents to access custom tools without authentication.
Manages Kubernetes clusters and Helm releases through a unified server interface, built on the FastMCP framework.
Manages local PC resources through file, directory, and command execution capabilities via the Model Context Protocol.
Integrates professional security tools with AI language models to assist with penetration testing and security assessments.
Empower AI assistants to interact with and control terminal sessions through a secure, isolated environment.
Enables the deployment and integration of Model Context Protocol (MCP) servers with Microsoft Copilot Studio, providing AI models with standardized access to contextual data and tools.
Enables interaction with a Kubernetes cluster via the Claude Desktop App by exposing Metoro APIs to an LLM.
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