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。2833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。
Executes shell scripts or commands through the Model Context Protocol.
Monitors the status of Minecraft Bedrock and Java servers via a headless setup with an HTTP JSON API.
Enables AI assistants to manage Gitee Enterprise repositories, issues, and pull requests through the Model Context Protocol (MCP).
Manages multiple development servers with a unified interface and TUI, enabling programmatic control.
Enables the creation, deployment, and bridging of Omnichain Fungible Tokens (OFTs) across multiple blockchains using LayerZero.
Transforms any Python library or code into a robust, scalable, and production-ready API with automatic service discovery.
Provides comprehensive tools and a web interface for monitoring and defining performance bottlenecks in Logstash instances.
Provides enterprise-grade security analysis with dynamic rule management and hot-reload capabilities.
Integrates with Apache Ambari to provide comprehensive management of Hadoop clusters, encompassing service operations, configuration, and monitoring.
Enables AI agents and LLMs to control Redfish-enabled hardware and simulators through a secure API.
Exposes team information through a Model Context Protocol (MCP) server utilizing HTTP streaming transport.
Access Futabus bus booking services, including routes, trips, pricing, and booking information, through a standardized Model Context Protocol (MCP) interface.
Exposes TP-Link Omada Controller APIs to AI copilots and automation workflows.
Provides a custom Databricks server to test Model Context Protocol (MCP) integrations and On-Behalf-Of (OBO) authentication.
Demonstrates RESTful CRUD operations and Object-Relational Mapping (ORM) for JSON objects using the Gilhari microservice framework.
Manages Redfish-enabled servers using an AI-powered natural language interface and Model Context Protocol.
Integrates Cumulocity IoT platform data with AI agents, enabling AI-powered device management, data analysis, and operational insights.
Deploys the MiniMind Large Language Model as an all-in-one Docker solution, offering a web UI, an OpenAI-compatible API, and Model Context Protocol (MCP) support.
Provides an agentic control plane for AI workflows to capture human preference signals, engineer context, and enforce machine-readable guardrails for large language models.
Enable AI assistants to directly manage Google Play Store production releases.
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