cloud infrastructure를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1263개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides a Model Context Protocol (MCP) server to interact with Illumio PCE for workload management, label operations, and traffic flow analysis.
Facilitates Terrakube operations by enabling workspace management, variable handling, module operations, and organization management.
Enables Codename Goose AI agent to interact with a Minikube cluster via a Model Context Protocol (MCP) server.
Enables interaction with Google Drive files and Google Sheets, allowing for listing, reading, searching, and updating data.
Enables large language models to report Azure resource impacts by parsing natural language requests and submitting reports to Azure.
Facilitates taxi ordering through a call center agent.
Exposes SSH control for Linux and Windows systems via the Model Context Protocol (MCP).
Manages Kubernetes deployments, pods, and services through a Model Control Protocol (MCP) server.
Routes medical questions and images to specialized MedGemma AI models hosted on Google Cloud's Vertex AI.
Automates AWS infrastructure deployment using natural language commands and the Model Context Protocol.
Empowers AI assistants with secure and programmatic access to the Microsoft Graph API for managing Azure AD resources and user data.
Provides secure BigQuery access across multiple Google Cloud projects with advanced analytics and robust security controls.
Provides access to GrabMaps API services, including places and routes functionality, through AWS Location Service.
Manage and deploy Scaleway Serverless Functions via the Model Context Protocol.
Integrates a Kubernetes MCP server with an AI-powered UI plugin, deployable via Docker Compose.
Exposes Upsun cloud platform APIs as Model Context Protocol (MCP) tools for AI assistants.
Provides temporal intelligence for AI agents through a 3-layer brain architecture managing past, present, and future contexts.
Enables large language models to interact with web pages through Anchor's cloud-based browsers.
Orchestrates multi-workspace Terraform deployments, managing dependencies, propagating outputs, and enabling AI-driven automation via Temporal workflows.
Provides a suite of Model Context Protocol (MCP) servers to enable AI assistants and automation to interact with modern DevOps tools and infrastructure.
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