Cloud MCP servers let your AI operate your infrastructure through provider APIs. Provision resources, inspect networking, manage IAM-style access patterns, and read cost or usage signals — your AI stays inside the permission boundary you configure for each cloud account.
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Cloud MCP servers connect AI agents to public cloud control planes and related services. The AI can list resources, read configuration, trigger approved automation, and help you reason about architecture — always through the vendor's API with your credentials.
Use least-privilege keys or roles, separate production and non-production credentials, and prefer read-only scopes until you explicitly need write operations. Each server's skill summarizes which calls are destructive or billing-impacting.
They complement them. MCP is for conversational operations and quick checks; infrastructure-as-code and the console remain the source of truth for large changes. Many teams use MCP for triage, reporting, and small operational tasks.