SAP ABAP MCP Server SDK

The SAP ABAP Model Context Protocol (MCP) Server SDK provides a native ABAP implementation of the MCP specification, enabling AI assistants to interact with SAP systems through a standardized protocol. By exposing prompts, resources, and tools directly from ABAP, the server bridges the gap between AI-driven workflows and SAP’s enterprise data layer. This eliminates the need for custom adapters or middleware, allowing developers to leverage AI capabilities without leaving the SAP ecosystem.

The server solves a critical integration challenge: most MCP clients rely on Server‑Sent Events (SSE) for real‑time notifications, but ABAP’s native runtime does not support SSE. The SDK therefore implements a stateless server that handles core MCP operations—prompt creation, resource retrieval, and tool execution—while gracefully acknowledging the absence of SSE. This design keeps maintenance overhead low and ensures compatibility with ABAP’s performance constraints, making it a practical choice for production environments.

Key features include:

• Prompt handling: Define and manage AI prompts within ABAP, enabling contextual queries that reference SAP data.
• Resource access: Expose ABAP objects (tables, views, BAPI calls) as MCP resources, allowing AI assistants to read or modify data through standard RESTful endpoints.
• Tool execution: Wrap ABAP functions and reports as MCP tools, giving AI assistants the ability to trigger business logic or batch processes on demand.
• Protocol compatibility: Supports MCP versions 2025‑03‑28 and 2025‑06‑18, ensuring smooth communication with the latest AI clients.

Typical use cases involve automating data extraction for analytics, generating natural‑language reports from SAP tables, or enabling chat‑based interfaces that invoke SAP business logic. For example, a customer support chatbot can query order status via the MCP resource API and then call an ABAP tool to update shipping information—all orchestrated by the AI assistant.

Integration into existing AI workflows is straightforward. The MCP server acts as a standard HTTP endpoint that any AI client (e.g., Claude, GPT) can consume. Developers embed the SDK into their ABAP projects, configure authentication (OAuth or custom ABAP authorizations), and expose the MCP URL. The AI assistant then uses the protocol’s declarative API to discover available prompts, resources, and tools, seamlessly weaving SAP data into its responses.

What sets this SDK apart is its pure ABAP implementation that respects SAP’s performance and security models. By avoiding external dependencies like SSE, it remains lightweight and easily maintainable while still providing a rich set of MCP capabilities. The open‑source foundation—leveraging projects such as , , and —ensures that the server stays up to date with both ABAP best practices and MCP specifications, giving developers confidence in long‑term support.