18 MCP servers for cloud
Cloud MCP servers let your AI manage infrastructure across AWS, Google Cloud, Azure, and platform-as-a-service providers like Vercel, Railway, and Heroku. Instead of clicking through cloud consoles or memorizing CLI flags, you can deploy services, inspect logs, configure environments, and manage resources through conversation.
These servers cover the full infrastructure lifecycle: provisioning with Terraform or Pulumi, deploying containers to Kubernetes, managing serverless functions, configuring DNS and CDN on Cloudflare, and even controlling virtual machines on Proxmox. Official servers from AWS, Azure, and Google Cloud ensure you're using well-maintained, secure integrations.
Cloud servers are especially valuable during incident response and debugging. Ask your AI to check deployment status, tail logs, inspect container health, or compare environment configurations across staging and production. What normally requires juggling multiple terminal tabs and dashboards becomes a single conversation.
by Anthropic
Search, read, and manage files in Google Drive. Access documents, spreadsheets, and shared drives through AI.
npx -y @modelcontextprotocol/server-google-driveby Google
Deploy applications to Google Cloud Run. List services, manage projects, and ship containers to Google's serverless platform.
npx -y @anthropic/cloud-run-mcpby AWS
AWS MCP servers for core service integration. Manage S3, Lambda, DynamoDB, CloudFormation, and more AWS services.
npx -y @awslabs/mcp-server-awsby Microsoft
Official Azure MCP server. Manage Azure resources, deploy services, query Resource Graph, and interact with the Azure ecosystem.
npx -y @azure/mcpby Cloudflare
Manage Cloudflare Workers, KV, R2 storage, D1 databases, and DNS. Deploy and configure edge infrastructure.
npx -y @cloudflare/mcp-server-cloudflareby Vercel
Manage Vercel deployments, projects, and domains. Deploy, inspect logs, configure environment variables, and manage teams.
npx -y @vercel/mcpby HashiCorp
HashiCorp Terraform integration. Plan, apply, and manage infrastructure as code with AI-driven workflows.
npx -y terraform-mcp-serverby Snowflake
Query and manage Snowflake data warehouses. Run SQL, inspect schemas, and analyze data across your Snowflake environment.
npx -y @anthropic/snowflake-mcpby Flux159
Interact with Kubernetes clusters via kubectl. Manage pods, deployments, services, and namespaces through AI.
npx -y mcp-server-kubernetesby Pulumi
Pulumi infrastructure automation server. Create, update, and manage cloud infrastructure using real programming languages.
npx -y @pulumi/mcp-serverby Railway
Official Railway MCP server. Deploy services, manage databases, configure environment variables, and monitor deployments.
npx -y @railway/mcp-serverby Heroku
Heroku Platform MCP server. Manage apps, dynos, add-ons, config vars, and deploy from Git with natural language.
npx -y @heroku/mcp-serverby alexei-led
Advanced Kubernetes cluster management with pod exec, log streaming, resource creation, and multi-cluster support.
pip install k8s-mcp-serverby Tencent
Deploy static sites and pages to Tencent EdgeOne CDN. Quick deployments with global edge distribution.
npx -y edgeone-pages-mcpby LocalStack
Manage LocalStack environments for local AWS development. Control container lifecycle, deploy infrastructure, and analyze logs.
pip install localstack-mcp-serverby antonio-mello-ai
Manage Proxmox Virtual Environment. Create and control VMs, containers, storage, and networking on your hypervisor.
pip install mcp-proxmoxby jdubois
Wraps the Azure CLI so AI assistants can manage Azure resources through natural language. Supports most az commands for deploying, configuring, and monitoring cloud infrastructure.
npx -y @jdubois/azure-cli-mcpby nwiizo
Terraform MCP server that lets AI assistants manage infrastructure-as-code workflows. Read configurations, analyze plans, apply changes, and manage Terraform state directly.
npx -y @nwiizo/tfmcp