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priyapandeyb merged 1 commit into from
Feb 10, 2026
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Enhance README with badges and demo details #25

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19 changes: 19 additions & 0 deletions examples/allstrides/README.md
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# AllStrides: Google remote MCP for Cloud SQL and Developer Knowledge

[![Google Cloud](https://img.shields.io/badge/Blog-4285F4?style=for-the-badge&logo=google-cloud&logoColor=white)](https://cloud.google.com/blog/products/ai-machine-learning/announcing-official-mcp-support-for-google-services)
[![Codelab](https://img.shields.io/badge/Codelab-58A55d.svg?style=for-the-badge&logo=devbox&logoColor=white)](https://codelabs.developers.google.com/ai-mcp-dk-csql#0)

This directory contains the data artifacts and infrastructure setup scripts for the **Google remote MCP for Cloud SQL and Developer Knowledge** demo.

## Demo Overview

This scenario demonstrates an AI Agent's ability to act as a Product Architect, migrating a localized application to the cloud using Google Model Context Protocol (MCP) servers. By equipping Gemini CLI with access to Cloud SQL, Developer Knowledge and Cloud Run MCP, you can transform a manual deployment process into an agentic orchestration.

> **"How do I evolve AllStrides from a local-only prototype into a secure, globally accessible enterprise platform?"**

Gemini CLI interacts with the Google Cloud ecosystem by leveraging three specific MCP servers to modernize the stack:

1. **Developer Knowledge MCP**: To analyze the current application structure and identify the optimal Google Cloud database.
2. **Cloud SQL MCP**: To provision a production-grade database instance and migrate local fitness community data to the cloud via a single natural language prompt.
3. **Cloud Run MCP**: To containerize the allstrides application and deploy it to a serverless environment, making AllStrides live and accessible to users worldwide.

### Architecture Diagram

<img width="941" height="439" alt="Developer-knowledge-mcp-cloudsql-mcp-cloudrun-mcp" src="https://github.com/user-attachments/assets/cbbc8785-41c5-4e1c-87c5-bae1bfa77f5e" />


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