Everyone are talking about MCP... What is MCP and ...

yogananda · ‎2025 Mar 22

Model Context Protocol (MCP) revolutionizes AI integration by providing standardized communication between LLMs and external systems, eliminating the need for custom code. MCP comprises hosts, clients, and servers, facilitating efficient AI interaction with data, tools, and pre-written prompts. It offers significant advantages over traditional APIs, including easier integration, real-time communication, and dynamic adaptation. MCP aims to streamline AI system integration, enhancing scalability, security, and maintainability.

The Model Context Protocol (MCP) is essential for enabling AI models, particularly large language models, to access the necessary context to complete tasks. MCP servers provide tools and resources, while clients make requests to these servers. MCP supports reflection, making it easier for AI to understand available tools and resources. It is designed to be used with existing backend APIs, rather than replacing them, and allows integration with various transport mechanisms like standard IO and server-sent events.

There are tons of details in web about MCP to understand much more to the various flow and processes on how it works generally to know more information.

Here are some examples of how to use the Model Context Protocol (MCP) for AI in your landscape

1. AI-Assisted ABAP Coding

Using MCP, you can integrate AI-powered coding assistance into your ABAP development workflow. For instance, you can use Visual Studio Code (VS Code) with the Cline extension to get intelligent code suggestions, auto-completion, and even code generation. This setup can significantly enhance productivity and code quality.

2. Automated Data Fetching and Tool Interaction

MCP allows AI models to interact with external tools and fetch data autonomously. For example, you can set up an MCP server that connects to your SAP system using ADT endpoints. This enables AI agents to decide which tools to use, in what order, and how to chain them together to accomplish tasks like data analysis or report generation.

3. Enhanced Workflow Automation

With MCP, you can create more efficient workflows by integrating multiple MCP servers. For example, you can use one server to generate the front-end UI and another to generate images for the site. This could be similar to Joule in SAP Build Code today doing similar to this approach. In future, Joule Studio would be the ultimate tool for the MCP use cases where you can interact and build. Also, this can be particularly useful for SAP frontend developers looking to streamline their development processes.

SAP Integration Suite

Purpose: Facilitates seamless integration between SAP and non-SAP systems.
Benefits: Enhances connectivity, data flow, and process automation across various applications

SAP BDC & Datasphere

Purpose: Provides tools for data integration, orchestration, and management.
Benefits: Enables efficient data processing, analytics, and machine learning capabilities.

SAP Fiori

Purpose: Offers a user-friendly interface for SAP applications.
Benefits: Improves user experience and productivity with intuitive design and responsive layouts.

SAP Analytics Cloud

Purpose: Combines business intelligence, planning, and predictive analytics.
Benefits: Provides comprehensive insights and data-driven decision-making capabilities.

SAP S/4HANA

Purpose: An intelligent ERP suite designed for digital transformation.
Benefits: Streamlines business processes, enhances performance, and supports real-time analytics.

SAP SuccessFactors

Purpose: A cloud-based human capital management (HCM) solution.
Benefits: Optimizes HR processes, talent management, and employee engagement.

SAP Ariba

Purpose: A procurement and supply chain management solution.
Benefits: Improves procurement efficiency, supplier collaboration, and spend management

4. Human-in-the-Loop Capabilities

MCP supports human-in-the-loop capabilities, allowing humans to provide additional data and approve execution. This can be useful in scenarios where critical decisions need human oversight, such as financial reporting or compliance checks within S4 systemsImage Sources: pixabay.com

MCP vs Function Calling

MCP SDKs : https://github.com/modelcontextprotocol
MCP References : https://blog.dailydoseofds.com/p/visual-guide-to-model-context-protocol
Playwright for MCP : https://github.com/microsoft/playwright-mcp