deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2833개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
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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