Cloud MCP servers
MCP servers for AWS, Cloudflare, Vercel, Kubernetes, and other cloud platforms.
About Cloud MCP servers
Cloud MCP servers expose platform primitives to agents: S3 buckets, Lambda functions, Cloudflare Workers, Vercel deployments, Kubernetes pods, and AWS resources. They are the foundation for platform engineering agents that operate production infrastructure.
All Cloud MCP servers
4 servers, ordered by community adoption.
AWS MCP
S3, Lambda, and CloudWatch for agents
Expose core AWS services to MCP clients: S3 buckets, Lambda functions, CloudWatch logs, and IAM roles. Designed with strict permission scopes for safe agent operations.
Cloudflare MCP
Workers, KV, and R2 for agents
Expose Cloudflare platform primitives to MCP clients: Workers deployments, KV namespaces, R2 buckets, and D1 databases. A foundation for agents that deploy and operate cloud infrastructure.
Vercel MCP
Deploys, env vars, and projects for agents
Manage Vercel projects, deployments, and environment variables from MCP clients. Useful for agents that ship frontend code and need to coordinate deploys.
Kubernetes MCP
Cluster operations for agents
Read and operate Kubernetes resources from MCP clients: pods, deployments, services, and logs. A foundation for platform agents that manage cloud-native workloads.
How to install a Cloud MCP server
- Pick a server from the list above and read its detail page.
- Copy the install command. Most servers run via
npx,uvx, ordocker. - Open your AI client's MCP configuration and add the command.
- Restart the client and verify the tools appear in the model context.
Need a refresher? Read the MCP guide for the full walkthrough.