Cloud & DevOps MCP Servers
Manage cloud infrastructure, containers, and deployment pipelines through your AI assistant. Connect to AWS, Docker, Kubernetes, and CI/CD platforms.
12 servers available
Komodo
by MP Tool
MCP server for Komodo - manage Docker containers, servers, stacks, and deployments via AI
Sota
by Sota Deploy
Deploy web apps via AI agents with sota.io. 9 tools for deploy, logs, env, and more.
Docker Release Information
by Dockersamples
MCP server providing Docker Desktop release notes and security information.
Pare
by Dave London
Structured Docker operations (ps, images, logs, build) as typed JSON.
Clawswap
by John Warmann
Cross-chain swaps between Solana and Base for AI agents paid for via via x402 micropayments.
Terraform Provider F5xc
by Robinmordasiewicz
F5 Distributed Cloud Terraform provider docs, 270+ OpenAPI specs, and subscription info for AI.
Vercel Mcp Overview
by Vercel
An MCP server for Vercel
K8s Port Forward
by Oijusti
Kubernetes Port Forward — MCP Server: port-forward Kubernetes services with terminal integration
Docker
by Alisaitteke
MCP server for managing Docker containers, images, networks, volumes, and registries
Next Devtools
by Vercel
Next.js development tools MCP server with stdio transport
Cloudflare
by Cloudflare
Cloudflare MCP servers
Deployhq
by Deployhq
Model Context Protocol (MCP) server for DeployHQ API integration
Frequently Asked Questions
Can AI manage my AWS resources with MCP?
Yes. Cloud & DevOps MCP servers let your AI interact with AWS, GCP, Azure, and other cloud providers to manage resources, check status, and deploy applications.
Are cloud MCP servers safe for production?
Each server is security-scanned. Cloud servers that interact with production infrastructure display their required permissions so you can audit access before installing.
Can MCP servers deploy code?
Yes. DevOps MCP servers can trigger CI/CD pipelines, manage Docker containers, and interact with deployment platforms like Vercel, Railway, and Fly.io.