MCP Development with Python, and the Azure App Service

📰 Dev.to · xbill

Learn to build Model Context Protocol (MCP) AI with Python and Azure App Service using Gemini CLI and LLM

intermediate Published 20 Mar 2026
Action Steps
  1. Install Gemini CLI to interact with the Gemini LLM
  2. Build an MCP AI model using Python and the Gemini LLM
  3. Configure Azure App Service for deployment
  4. Deploy the MCP AI model to Azure App Service using Gemini CLI
  5. Test the deployed model with sample inputs
Who Needs to Know This

Developers and data scientists on a team can benefit from this tutorial to build and deploy MCP AI models using Python and Azure App Service

Key Insight

💡 Gemini CLI and LLM can be used to build and deploy MCP AI models with Python and Azure App Service

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Build MCP AI with Python & Azure App Service using Gemini CLI!

Key Takeaways

Learn to build Model Context Protocol (MCP) AI with Python and Azure App Service using Gemini CLI and LLM

Full Article

Leveraging Gemini CLI and the underlying Gemini LLM to build Model Context Protocol (MCP) AI...
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