Wdf2025 Fiori Innov Day Mcp Server

Hands-on | Agentic app development with common AI clients and SAP’s MCP servers

Description

This repository contains the material for the SAP Fiori Innovation Day [Hands-on | Agentic app development with common AI clients and SAP’s MCP servers](https://events.sap.com/eur-fiori-innovation-day-walldorf-2025/en_us/home.html).

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Overview

In this hands-on tutorial you will work through a set of exercises that highlight the benefits and capabilities of the **MCP servers developed by SAP** to create and modify SAP Fiori applications with the help of AI coding assistants.

You will gain comprehensive knowledge of AI assisted full-stack development, and learn how to use AI Clients to kickstart your SAP Fiori elements agentic application development.

Using AI during Agentic app Development

We are using Cline as AI client within SBAS and Anthropic claude-4-sonnet LLM (Large Language Model) throughout the exercises. When developing SAP Fiori applications with LLMs, you may encounter situations where a prompt is not executed as intended, or technical errors occur when calling MCP server tools. Knowing how to approach these issues systematically can save time and prevent disruption. Cline and the choosen LLM are powerful assistants for problem resolution.

General steps in case of issues:

[Detailed steps and examples of resolving common issues](./exercises/troubleshoot/)

1. Verify connectivity:

   • Check if your machine has network access.
   • Confirm that the MCP server is up and running.

2. Approach errors systematically

   • Pause before panicking
     • Use natural pauses when the client asks for approval to inspect the current results and chat history.
     • Stop execution with the "Cancel" button. You can always proceed from there with a new prompt
   • Identify the source: Check if the issue is:
     • CDS compiler error
     • SQLite/database error
     • Console/browser runtime error

3. Using the LLM to solve an iss