From IT Manager to AI Engineer: Build a Cloud Infrastructure Agent with Cloud Run's Managed MCP Server

To containerize the Infrastructure Health Monitoring Control Plane (MCP) application for deployment on Google Cloud Run, you need to create a Dockerfile that sets up the environment and runs your Python code. Below is an example of how you can structure your Dockerfile:

dockerfile
 
1# Use an official Python runtime as a parent image
2FROM python:3.10-slim
3
4# Set the working directory in the container
5WORKDIR /app
6
7# Copy the current directory contents into the container at /app
8COPY . .
9
10# Install any needed packages specified in requirements.txt
11RUN pip install --no-cache-dir -r requirements.txt
12
13# Make port 80 available to the world outside this container
14EXPOSE 8080
15
16# Run app.py when the container launches
17CMD ["python", "infra_health_mcp_server.py"]

Steps to Containerize and Deploy on Google Cloud Run:

1. Create a requirements.txt file: Ensure you have a requirements.txt file that lists all dependencies required by your Python application. For example:

   plaintext
    
   1google-cloud-run>=0.37.0
   2google-cloud-logging>=2.9.

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