deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2341개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables AI agents to securely query Azure DevOps data like work items, projects, and ticket statistics via a custom Model Context Protocol (MCP) server.
Aggregates multiple Model Context Protocol servers and exposes their combined tools through a unified HTTP API.
Provides an HTTP server with Server-Sent Events and message receiving capabilities for remote servers.
Provides tools for interacting with AWS S3 buckets via the Model Context Protocol.
Hosts a remote Model Context Protocol (MCP) server for the playz.one platform.
Control Proxmox LXC containers using natural language through an AI system via SSH, enabling command execution, lifecycle management, and file transfers.
Exposes Databricks functionality as a Model Completion Protocol (MCP) server, enabling LLM-powered tools to interact with Databricks resources.
Facilitates the deployment and integration of a Model Context Protocol (MCP) server, enabling enhanced AI model capabilities within Microsoft Copilot Studio.
Manages a CM3588 NAS Kit, providing a semantic knowledge base, change logging, and real-time device status for comprehensive monitoring and automation.
Empowers Large Language Models with administrative control over local systems by executing commands in a pseudo-terminal environment.
Intelligently restarts Claude's MCP handler process without disrupting its user interface.
Analyzes application installation requirements from Git repositories and validates them against OpenShift/Kubernetes cluster resources.
Provides a foundational setup for deploying a remote Microservices Control Plane server, demonstrating both local and cloud deployment.
Provides a unified multi-cloud abstraction framework for secure, dynamic access to AWS, Azure, and OCI services, including financial data sources.
Interacts with a filesystem server, allowing execution of specified tools with given arguments.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.
Facilitates building and deploying custom remote servers to the cloud using Azure Functions with Python.
Enables AI assistants to control a browser via Cloudflare Workers, performing web automation tasks.
Provides read-only tools for safely interacting with and observing Kubernetes clusters without risk of mutation.
Provides a Model Context Protocol (MCP) server for AI assistants to manage processes and capture their log output for monitoring and analysis.
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