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Summary
The strategy for using Python for MCP development with Gemini CLI on Amazon App Runner was validated with a incremental step by step approach.
A minimal HTTP transport MCP Server was started from Python source code and validated with Gemini CLI running as a MCP client in the same local environment.
This MCP server was then wrapped in a Docker container and deployed to Amazon App Runner. The local copy of Gemini CLI was used as a MCP client to validate the connection.
This approach can be extended to more complex deployments using other MCP transports and Cloud based options.