Descubre nuestra colección curada de servidores MCP para cloud infrastructure. Explora 1447 servidores y encuentra los MCP perfectos para tus necesidades.
Simulates manual, MCP-automated, and A2A-agent-driven approaches to Nginx server installation for DevOps workflow analysis.
Manage Docker containers on multiple hosts with this TypeScript-based server implementation.
Facilitates serverless access to VPC resources by implementing a Multi-Agent Conversation Protocol.
Serves as an MCP server specifically tailored for OpenShift environments.
Enables remote access to a Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.
Transform infrastructure management into a conversational experience.
Facilitates interaction with the AWS Security Hub API using a Multi-Agent Conversation Protocol (MCP) server.
Deploys an unauthenticated Model Context Protocol (MCP) server on Cloudflare Workers, enabling external AI clients to access custom tools.
Simulates a Model Context Protocol server for sending notifications through a mock GC Notify service.
Enables natural language control of OpenStack cloud infrastructure by serving as a modern and stable Model Context Protocol (MCP) server.
Provides a standardized API for simultaneous interaction with multiple Kubernetes clusters using various kubeconfig files.
Deploys an unauthenticated Model Context Protocol server on Cloudflare Workers for remote tool integration.
Provides a foundational template for developing Model Context Protocol servers compatible with Claude Desktop and other MCP clients.
Enables AI assistants to interact with Google Cloud Platform resources using natural language.
Exposes a single tool via the OpenAI Model Context Protocol (MCP) using JSON-RPC 2.0 over HTTP.
Provides a secure, enterprise-grade Model Context Protocol (MCP) server for Google Cloud BigQuery, leveraging Workload Identity Federation for keyless authentication.
Develops cloud-native news portals on AEMaaCS through accelerated archetype generation and efficient component coding in AWS Kiro IDE.
Manages ANUGA flood simulations, tracks progress, and retrieves results via the Model Context Protocol.
Empower AI agents with access to an extensive suite of real-world tools via a managed REST API and MCP protocol, featuring built-in authentication, usage tracking, and tiered billing.
Provides an interface for AI to manage Coolify infrastructure, enabling programmatic control over deployments, applications, and services.
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