$ loading_
Manage multi-cloud resources through one interface across major cloud platforms.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "poly-cloud-mcp" yet — see the docs or source repo.
Using poly-cloud-mcp, list the currently running compute instances in AWS, Google Cloud, Azure, and DigitalOcean. Group them by provider and include instance name, region, and status.
A provider-grouped list of running instances with names, regions, and statuses.
Use poly-cloud-mcp to inspect buckets across AWS S3, Google Cloud Storage, Azure Blob Storage, and DigitalOcean Spaces, and identify publicly accessible resources or ones missing basic tags.
A multi-cloud storage audit report listing buckets and potential configuration issues.
Through poly-cloud-mcp, count key resources across AWS, GCP, Azure, and DigitalOcean, including virtual machines, object storage, and Kubernetes clusters, then output a concise summary table.
A concise multi-cloud summary table showing resource distribution across providers.
Connect AI assistants to AWS resources and workflows through open-source MCP servers.
Parse multi-cloud IaC and generate real-time cost estimates and comparisons.
Create and manage AWS infrastructure resources through an MCP server.
Manage multiple OpenShift clusters through AI-assisted operations and administration.
Manage Yandex Cloud infrastructure across VMs, storage, functions, and operations.
Provision and manage VMs, networks, and databases on an EU-hosted cloud via MCP.