Does the AWS server cover all services?

This general-purpose AWS Labs server reaches anything the AWS CLI can, since call_aws executes validated CLI commands. It is one of sixty-plus AWS Labs servers, some of which specialize in individual services.

Is the Google server for all of Google Cloud?

No. It is the official Cloud Run server, focused on deploying and operating containers on Cloud Run, reading logs, and managing projects, not the entire Google Cloud platform.

AWS (AWS Labs) vs Google Cloud Run

These two official cloud MCP servers occupy very different points on the breadth spectrum. The AWS Labs server covered here is the general-purpose AWS API MCP server, which gives an agent a single typed surface over the entire AWS CLI: it validates and executes any AWS CLI command, suggests commands, and can produce an execution plan, with read-only mode available — and it is one of sixty-plus specialized AWS Labs servers. Google's Cloud Run server is deliberately narrow: it is focused on deploying and operating containers on Cloud Run, Google Cloud's serverless container platform, so an agent can deploy local code or file contents, list and inspect services, read service logs, and manage projects. So the choice is between an everything-via-the-CLI surface for AWS and a focused deploy-and-run surface for Google Cloud Run. Here is how they compare for an agent.

How they compare

Dimension	AWS (AWS Labs)	Google Cloud Run
Scope	Whole cloud via the CLI — one server executes any AWS CLI command across all services.	Single product — deploy and operate containers on Cloud Run, not the whole of Google Cloud.
Primary action	call_aws runs validated CLI commands; suggest_aws_commands and get_execution_plan help the agent plan.	Deploy local folders or file contents to Cloud Run, then list, inspect, and read logs for services.
Safety	Offers a read-only mode and validates commands before execution to guard against destructive calls.	Scoped by the product surface and your Google Cloud credentials; the actions are deploy and read-oriented.
Breadth of family	Part of 60+ AWS Labs servers; this general server reaches everything the CLI can.	One focused official server; other Google Cloud capabilities live in separate tools.
Best-fit task	Letting an agent operate across many AWS services through a single validated CLI interface.	Shipping a container an agent just built to Cloud Run and reading its logs, end to end.

Verdict

Choose by what you want the agent to operate. The AWS Labs API server is the pick when you want broad reach across Amazon's cloud — it turns the entire AWS CLI into one validated, typed surface, with command suggestions, execution plans, and a read-only mode for safety. Google's Cloud Run server is the choice when your goal is to deploy and run containers on Cloud Run: hand the agent code or file contents, ship it, list and inspect services, and read logs, all in a tight, purpose-built surface. They are not equivalents — AWS spans the whole cloud via the CLI, while Cloud Run targets one serverless product. Match the server to whether you need cloud-wide CLI access or focused container deployment.

FAQ

Does the AWS server cover all services?: This general-purpose AWS Labs server reaches anything the AWS CLI can, since call_aws executes validated CLI commands. It is one of sixty-plus AWS Labs servers, some of which specialize in individual services.
Is the Google server for all of Google Cloud?: No. It is the official Cloud Run server, focused on deploying and operating containers on Cloud Run, reading logs, and managing projects, not the entire Google Cloud platform.