MCP Development with Amazon Lightsail Instances

Summary: Deploying Python-Based MCP Server on Amazon Lightsail with Gemini CLI

This tutorial outlines an incremental, step-by-step process for deploying a Python-based Model Control Plane (MCP) server on Amazon Lightsail Instances. The goal is to validate the deployment and ensure that it can be used effectively as part of a larger cloud-based architecture.

Key Steps:

1. Setup Environment:

   • Ensure you have the necessary tools installed:
     • aws-cli
     • lightsail-cli
     • make

2. Deploy Python MCP Server Locally:

   • Navigate to the directory containing the Python MCP sample code.
   • Refresh AWS credentials using save-aws-creds.sh.
   • Deploy the MCP server locally by running:

     sh
      
     1make deploy

3. Validate Deployment:

   • Check the status of the deployed instance and container service:

     sh
      
     1make status

   • Get the endpoint URL for the deployed service:

     sh
      
     1make endpoint

4. Configure Gemini CLI Settings:

   • Update the settings.json file with the new MCP server details:

     json
      
     1undefined

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