Discover our curated collection of MCP servers for cloud infrastructure. Browse 1506 servers and find the perfect MCPs for your needs.
Simplifies framework deployments on shared hosting environments using the Model Context Protocol.
Enables AI language models to interact with Microsoft OneNote through a standardized interface.
Enables the use of Model Context Protocol (MCP) servers with Cloudflare Durable Objects, utilizing a Server-Sent Events (SSE) transport layer.
Provides a comprehensive set of tools and frameworks for building a mobile virtual network operator (MVNO) infrastructure.
Converts natural language requests into valid kubectl commands for Kubernetes.
Facilitates customer enquiries using a collection of purchasing agents.
Deploys an unauthenticated remote server for Model Context Protocol applications on Cloudflare Workers.
Manages Huawei Cloud Container Engine (CCE) clusters and Kubernetes resources through a unified interface.
Explore Azure environments by generating and executing KQL queries against Azure Resource Graph for comprehensive insights.
Deploys an unauthenticated Model Context Protocol server to Cloudflare Workers, enabling custom tool integration and client connections.
Manages Croit Ceph clusters by dynamically generating tools from their OpenAPI specifications, optimizing for AI interaction.
Empowers AI agents to autonomously manage files and data on the decentralized Filecoin network using the Model Context Protocol.
Provides a Model Context Protocol (MCP) server for healthcare tools, facilitating interaction with FHIR resources on Google Cloud Healthcare API and public medical research APIs.
Enables Large Language Models (LLMs) to securely access and communicate with Confluent Cloud resources.
Facilitates intelligent interaction with Azure services and CLI commands, acting as a Model Context Protocol server to translate natural language requests into executable actions.
Integrates AI assistants with Azure Updates, enabling natural language queries to search and filter service announcements, feature releases, and retirement notices.
Provides a production-grade, self-hosted infrastructure platform with enterprise-level capabilities for scalable web applications.
Provides a resilient, self-hosted platform delivering full-stack observability (Logs, Metrics, Traces) with GitOps-driven infrastructure management for complex cloud-native environments.
Exposes Kubeflow training operations as tools, enabling AI assistants to manage distributed model training on Kubernetes through natural conversation.
Provides AI agents with a persistent, shared memory, allowing operational knowledge to be exchanged across sessions, agents, projects, and teams.
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