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。1614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。
Exposes a comprehensive API to retrieve Kubernetes cluster information and diagnose issues using the Model Context Protocol.
Automates deployments to the Container Inc. platform.
Connects Fastly's API to AI assistants through the Model Context Protocol, enabling AI-driven management of Fastly services.
Dockerizes the MCP Everything server, providing SSE transport for efficient data streaming.
Provides a cloud infrastructure for AI Agents, offering configurable tools and a secure execution environment.
Queries Azure resource pricing programmatically using the Azure Retail Prices API.
Manages Coolify deployments through AI-powered Model Context Protocol (MCP) tools and command-line interfaces.
Enables AI assistants to interact with Thales CipherTrust Manager resources through the Model Context Protocol (MCP).
Manage VMware Fusion virtual machines programmatically via its REST API as an MCP server.
Navigates BigQuery datasets and tables, optimized for efficient LLM interaction in large projects.
Manages BandwagonHost (KiwiVM) VPS instances through a Go SDK, command-line interface, and an integrated MCP server, providing access to a wide range of features.
Provides LLMs with semantic search capabilities over Markdown documentation stored in S3, leveraging 100% local embeddings to eliminate API costs.
Integrate Filecoin's decentralized storage directly into AI assistants, enabling natural language file storage and management on the Filecoin Onchain Cloud.
Enables Large Language Models to interact with Cisco Intersight APIs by exposing its operations as callable tools.
Integrate Infomaniak cloud services with AI assistants like Claude for streamlined management of domains, email, web hosting, and infrastructure.
Provides Claude with direct, read-only access to AWS RDS infrastructure for database administration assistance.
Manages Kubernetes resources and identifies the real root cause of failures through interoperable toolsets.
Enables AI companions to check the current time in any timezone, returning both UTC timestamp and human-readable local time.
Build production-ready Retrieval-Augmented Generation (RAG) systems from various document types using hybrid search with OpenSearch.
Provides persistent memory infrastructure for AI systems, featuring semantic search, emotional processing, and identity continuity.
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