cloud infrastructure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。1116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。
Enables AI assistants to interact with the Bunnyshell platform via natural language commands.
Provides an MCP server for OpenShift must-gather operations.
Manages Azure Cloud PCs using the Microsoft Graph API.
Enables the deployment of a Model Context Protocol (MCP) server on Cloudflare Workers without requiring authentication.
Provides natural language access to the SiteBay WordPress hosting platform for comprehensive site management and command execution.
Deploys a remote Model Context Protocol (MCP) server with integrated Google OAuth for secure client authentication and access control.
Integrate natural language interfaces with Railway.app infrastructure for service deployment, variable management, and monitoring.
Enables large language models to manage and automate VAST Data Platform infrastructure through natural language commands.
Provides structured access to the ConceptNet knowledge graph, delivering semantic knowledge for Large Language Models and AI applications.
Manages PostgreSQL clusters via the CloudNativePG operator within Kubernetes environments.
Manage Cloudinary environment settings including transformations, streaming profiles, and upload presets programmatically.
Provides a Model Context Protocol (MCP) server for accessing mxHERO's high-performance Mail2Cloud Advanced multi-account email search service.
Manages a full-stack TODO application with user authentication, extending its functionality for AI agent interaction using the Model Context Protocol.
Generates various technical diagrams, including AWS architecture, sequence, flow, and class diagrams, directly from Python code.
Deploys a remote API gateway for managing Google Docs operations, facilitating integration with AI assistants like Claude Web through custom connectors.
Provides seamless integration with Databricks Unity Catalog for AI assistants.
Optimizes, converts, and uploads images to Vercel Blob storage.
Manages Kubernetes clusters and Helm releases through a unified server interface, built on the FastMCP framework.
Enables seamless integration of Tableau Cloud and Tableau Server operations through a Model Context Protocol (MCP) server.
Enhances AI agent capabilities for personal workspace management by providing automated project documentation, cloud infrastructure access, and code analysis.
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