Discover our curated collection of MCP servers for cloud infrastructure. Browse 1210servers and find the perfect MCPs for your needs.
Enables AI assistants to interact with Kubernetes clusters through natural language via the Model Context Protocol (MCP).
Simplifies Kubernetes cluster management with an AI-powered, lightweight dashboard featuring multi-cluster support and intelligent analysis.
Manage Docker containers using natural language commands.
Aggregates and serves multiple Model Context Protocol (MCP) resource servers through a single HTTP server.
Enables Claude Desktop and other MCP clients to interact with Cloudflare Workers.
Enables AI assistants to interact with the Google Cloud environment using the gcloud CLI.
Identifies cloud risks, tests security vulnerabilities, and enhances cloud protection for public cloud tenants.
Enables MCP-compatible AI agents to deploy applications to Cloud Run.
Enables natural language interaction with the Neon Management API and databases through the Model Context Protocol.
Manages the lifecycle of Flux CD on Kubernetes, extending it with self-service capabilities and preview environments.
Manage Docker containers and compose stacks through natural language with Claude AI.
Enables SQL analytics capabilities for Claude by integrating MotherDuck and local DuckDB.
Implements a Model Context Protocol (MCP) server for Kubernetes and OpenShift, enabling seamless interaction and management of Kubernetes resources.
Provides a unified platform that combines centralized access control with intelligent tool discovery for MCP servers.
Connects to Kubernetes, providing a Model Context Protocol (MCP) server for interacting with Kubernetes resources.
Enables AI assistants to manage and operate Terraform environments through the Model Context Protocol (MCP).
Deploys HTML content to EdgeOne Pages and provides a publicly accessible URL.
Streamline the deployment of applications and management of multi-cloud infrastructure for both AI agents and humans.
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.
Executes code securely within isolated Docker containers, providing a safe environment for AI applications.
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