Training course · Model Context Protocol (MCP) · SAP & ABAP

Model Context Protocol (MCP) for SAP ABAP Developers

Build and connect MCP servers securely: tools, resources and prompts for Claude Code, Cursor, Copilot and your own AI agents.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

This course connects Model Context Protocol (MCP) with the everyday processes of SAP & ABAP. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

The Model Context Protocol is an open standard that gives AI applications a uniform way to access external tools, data sources and workflows. Instead of building separate integrations for every assistant, you implement an MCP server once and use it in Claude Code, Claude Desktop, Cursor, GitHub Copilot, VS Code and your own agents. In this two-day course you learn the host, client and server architecture, the three core primitives of tools, resources and prompts, and the stdio and Streamable HTTP transports, applying each of them directly in your own code.

On day one you use the official TypeScript or Python SDK to build an MCP server that exposes internal APIs, databases or files to AI assistants in a controlled way, and you test it with the MCP Inspector. Day two covers remote servers, OAuth-based authorisation, security risks such as prompt injection and tool poisoning, and operations, logging and governance in an enterprise setting. You learn to write tool descriptions that models use reliably, and you leave knowing how to integrate MCP servers safely into your development and agent landscape.

Few development landscapes carry as much accumulated logic as SAP. Custom reports, user exits, BAdIs and Z programmes built up over many years must be assessed, adapted or replaced with clean core extensions for S/4HANA. AI coding assistants and agents help you make sense of undocumented ABAP, resolve ABAP Test Cockpit findings, move classic ABAP to modern ABAP with CDS views and the RESTful Application Programming Model, and retrofit unit tests. Because ABAP is tightly woven into dictionary objects, customising and business processes, precise context and disciplined reviews are essential. In this course you learn to apply AI to analysis, refactoring and new development in SAP, aligned with your transport system, namespaces and the quality standards of your SAP operations.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • ABAP developers in in-house IT and SAP consultancies
  • SAP technical consultants and development architects
  • Teams working on S/4HANA conversion and clean core projects
  • SAP Basis and integration specialists who also write code
  • Fiori and RAP developers

Typical challenges we address

  • Large volumes of poorly documented Z code with unclear usage and many dependencies
  • Heavy adaptation effort for simplification items and data model changes during S/4HANA migration
  • Low test coverage because ABAP Unit was rarely used in legacy code
  • Skills shortages and knowledge loss when experienced developers leave

What you will be able to do

  • You explain the MCP architecture and choose between tools, resources and prompts for each use case.
  • You develop your own MCP server in TypeScript or Python and test it systematically.
  • You connect MCP servers to Claude Code, Cursor, Copilot and custom agents.
  • You run remote servers using Streamable HTTP and OAuth-based authorisation.
  • Use AI agents to systematically analyse, document and assess existing ABAP for S/4HANA.
  • Modernise classic ABAP in line with clean core principles and secure refactoring with generated ABAP Unit tests.
  • Integrate AI tools with ADT, abapGit and your transport and review process.

Course outline

Day 1

Module 1 Architecture and core concepts
  • Roles of host, client and server and the lifecycle of a connection
  • JSON-RPC messages, capability negotiation and notifications
  • Tools, resources and prompts: choosing the right primitive
  • Client features such as sampling, roots and elicitation at a glance
Module 2 Building your own MCP server
  • Setting up a server with the official TypeScript or Python SDK
  • Defining tools cleanly with JSON Schema for inputs and outputs
  • Exposing resources and resource templates for documents, records and configuration
  • Testing and debugging with the MCP Inspector and meaningful error messages
Module 3 Connecting to Claude Code, Cursor, Copilot and agents
  • Configuring local stdio servers and remote servers in clients
  • Project-level and user-level configuration, approvals and permissions
  • Writing tool descriptions that models reliably select correctly
  • Integrating MCP servers into custom agents built with the Claude Agent SDK or OpenAI Agents SDK
Module 4 Transport, authorisation and operations
  • Streamable HTTP, session management and stateless servers
  • OAuth-based authorisation, token validation and integration with existing identity providers
  • Deploying as containers, on serverless platforms or behind a gateway
  • Logging, monitoring, rate limiting and versioning tool interfaces

Day 2

Module 5 Security and governance
  • Threats: prompt injection via tool results, tool poisoning, confused deputy
  • Least privilege, confirmation requirements and sandboxing
  • Reviewing and approving third-party servers within the organisation
  • Data protection, logging of personal data and requirements under GDPR and the EU AI Act
Module 6 Practice lab: SAP & ABAP
  • Analysing ABAP for S/4HANA
  • Documenting legacy code
  • Moving towards clean core
  • Retrofitting ABAP Unit
  • Resolving ATC findings
  • Building RAP and OData services
Module 7 Data protection, quality & transfer to daily work
  • ABAP code often contains business logic, pricing conditions and personal data structures: you learn to assess source code before sharing it with AI services, respect the licence and usage terms of your SAP contracts and comply with GDPR rules for test data.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Analysing ABAP for S/4HANA

Scan Z programmes for access to obsolete tables, changed data models and unreleased APIs, group findings by simplification item and generate concrete remediation proposals with effort estimates.

Documenting legacy code

Have undocumented reports, function modules and user exits explained, summarise programme logic in business terms and produce technical documentation and flow diagrams for knowledge transfer and audits.

Moving towards clean core

Convert classic modifications and SELECT loops into modern ABAP with inline declarations, CDS views and released APIs, and identify candidates for RAP-based side-by-side or developer extensibility.

Retrofitting ABAP Unit

Extract testable interfaces from existing classes, prepare test doubles for database access using the SQL test double framework and generate meaningful unit tests as a safety net for refactoring.

Resolving ATC findings

Prioritise messages from ABAP Test Cockpit and Code Inspector, detect performance issues such as nested SELECTs and propose compliant corrections with an explanation for code review.

Building RAP and OData services

Design CDS data models, behaviour definitions and service bindings from business requirements, implement validations and determinations and generate suitable Fiori elements annotations. The agent follows your naming conventions and package structure.

Possible hands-on projects

Z code inventory

A script that processes exported ABAP sources, classifies objects by usage, complexity and migration relevance and produces a prioritised overview for project planning.

Custom code explainer

A small web app where you paste a report and receive a business-level summary, its table dependencies and migration risks.

RAP scaffolder

A generator that creates CDS views, a behaviour definition and a service skeleton from a table definition, following your naming conventions.

Prerequisites

Solid programming skills in TypeScript/JavaScript or Python and a basic understanding of HTTP APIs and JSON. Some experience using AI assistants in day-to-day development is helpful. You develop in ABAP on a regular basis and are familiar with ABAP Development Tools in Eclipse or the classic ABAP Workbench.

Technical requirements

A laptop with Node.js or Python, Git and a code editor, plus access to at least one MCP-capable client such as Claude Code, Claude Desktop, Cursor or VS Code with Copilot.

Data protection & compliance

ABAP code often contains business logic, pricing conditions and personal data structures: you learn to assess source code before sharing it with AI services, respect the licence and usage terms of your SAP contracts and comply with GDPR rules for test data.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Mon, 23 November 2026 – Tue, 24 November 2026 Online Request
  • Wed, 2 December 2026 – Thu, 3 December 2026 Kaiserslautern Request
  • Tue, 8 December 2026 – Wed, 9 December 2026 Online Request
  • Thu, 7 January 2027 – Fri, 8 January 2027 Augsburg Request
  • Tue, 19 January 2027 – Wed, 20 January 2027 Online Request
  • Wed, 3 February 2027 – Thu, 4 February 2027 Salzburg Request

Frequently asked questions

Why would I need my own MCP server?

Whenever AI assistants need access to internal systems such as ticketing tools, databases, documentation or line-of-business applications. Your own server defines precisely which actions and data are available and can then be reused across several clients. That avoids isolated one-off integrations and keeps access firmly under your control.

Which programming language does the course use?

You can choose between TypeScript and Python, both of which have official SDKs. The concepts are identical and all exercises are available in both versions. Developers working in other languages still benefit, because the protocol is language-agnostic and SDKs for other languages follow a similar structure.

How secure is MCP for enterprise use?

The protocol provides mechanisms for authorisation and permissions, but real-world security depends on implementation and operations. Risks such as prompt injection through tool results or over-privileged servers are genuine. We cover concrete countermeasures, approval processes for third-party servers and how to handle personal data.

Do AI assistants really understand ABAP?

Current models read and write ABAP competently, but they know nothing about your custom tables, customising or namespaces. Quality improves markedly when you supply dictionary definitions, interfaces and conventions as targeted context. In the course you practise exactly that, for example with sources exported via abapGit and project-specific rule files for the agent.

How does AI-generated code get into the SAP system?

A proven route runs through ADT or abapGit: the assistant works on exported sources or directly in the IDE, changes are reviewed, validated with ATC and ABAP Unit and transported as usual. This preserves the transport system, the four-eyes principle and traceability, and no agent ever writes to production systems unchecked.

How much does “Model Context Protocol (MCP) for SAP ABAP Developers” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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