Cloud & DevOps MCP Servers
Manage cloud infrastructure, containers, and deployment pipelines through your AI assistant. Connect to AWS, Docker, Kubernetes, and CI/CD platforms.
Showing 145-148 of 148 servers
Vercelpycheck
Freeby MCP Registry · Cloud & DevOps
Scan a public GitHub repo for known Vercel Python-runtime deploy footguns.
Cloudflare Radar
Freeby Pipeworx Io · Cloud & DevOps
Cloudflare Radar MCP — internet observatory (traffic, attacks, BGP, quality)
K8s Manifest Audit
Freeby UnbearableDev · Cloud & DevOps
kube-linter audit for Kubernetes manifests — 63 checks: security, availability, RBAC, network.
Palinode
Freeby Phasespace Labs · Cloud & DevOps
Inspectable, correctable project memory in git-versioned Markdown for AI agents.
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.