NewABAP, RAP and ABAP Cloud
Change
Kind
Origin: SAP
Domain
Clear all
14 changes
Origin SAP
Agentic CAP: Build MCP servers and enterprise AI agentsexplains revisedDoor scope derived from the artifacts this piece also explains, so a door page lists it only where it holds (docs/concepts/content-on-doors.md).Talk,
Agentic CAP: Build MCP servers and enterprise AI agentspublishedCAP applications become AI agents over the Model Context Protocol and the Agent2Agent protocol, which is the serve your application over MCP concern, and SAP AI Core is the LLM integration through which AI is embedded in a CAP app, with recommendations from the SAP-RPT-1 model as the abstract's example. The abstract names the two protocols and the one model and does not say which packages carry them. A two-hour TechEd 2026 session in a hands-on room (Tuesday 27 October, Berlin), presented by Daniel Hutzel, Daniel Schlachter, Marc Huber and Sami Lechner, written here from SAP's abstract; the recording is not yet published.Talk,
Cloud Connectorprovides[capability:authentication] revisedThe edge read as though the connector propagated the user by itself. SAP's own page names three authentication types towards an internal system and says the calling application's destination configuration picks one, and that trust to the cloud entities whose tokens are accepted has to be configured explicitly. The property the BTP door compares on rests on the same sentence.App,
ADT MCP Serverdescription, provides[0] revisedSAP's launch post for the re-invented Joule for Developers points to the ADT MCP Server's available MCP tools in ADT for Eclipse and says the server drives the developer's own coding agent; it does not describe how the server is enabled in Eclipse. The Help page now reads "launches" where the quote said "starts".MCP server,
ADT MCP Serverpart of, description revisedThe server is a preference inside the extension, and the connection to an ABAP system is the extension's, stated on its own entry with the protocols SAP's marketplace page names (docs/concepts/design-roles-and-interfaces.md, P3); a part points up at its whole and enters the fact once.MCP server,
SAP Developers MCPadded to the atlasHosted MCP server of developers.sap.com tutorials and missionsMCP server,
SAP Developers MCPentry revisedNEIGHBOURS §5.1 named the hosted MCP as a companion to index as an artifact, and the graph had no entry for it. ecosystem: umbrella because its content covers SAP technologies across stacks (llms.txt names ABAP Cloud, CAP, Fiori, HANA Cloud and integration) and no single door holds it. No read_only: the anonymous mounts are read-only, but the signed-in tier writes progress (complete_step). No tool_count: the quickstart and the API page list different tools per mount. The site also serves a GraphQL API, not recorded as an interface here for want of a page read. /mcp/homepage is left out of the description: the quickstart lists it as anonymous and the API page as signed-in.MCP server,
AI-native North Star architecture — Platform Layerexplains revisedDoor scope proposed from the title and summary, so a door page lists the piece only where it holds (docs/concepts/content-on-doors.md).Reference architecture,
AI-native North Star architecture — Platform Layerparts revisedFilled from SAP's own pages at the maintainer's request (docs/concepts/product-doors.md was the occasion; the AI-native door reads these designs). Every part names what the graph holds; what it lacks is listed as candidates in the curation note.Reference architecture,
CAP in the age of AI #6 - vector embeddingspublishedVector embeddings put to work in the incident management sample, answering whether this problem has been seen before. An embedding element of type Vector is calculated and stored from the vector_embedding function, so the database refreshes it whenever the text behind it changes, and cosine_similarity compares it with a freshly embedded string; because a title says little, a scheduled action first summarises each incident's conversation through a model on SAP AI Core and the embedding is taken from that summary. The similar-incidents list is a view joining incidents to themselves, with order and limit set in a before handler on the expanded query, and the vector element excluded from the service, since OData knows nothing about vectors — on SAP HANA Cloud the function is native, while SQLite needs packages added to the project.Video,
CAP in the age of AI #7 - vector embeddings wrap-uppublishedThe same embeddings model taken from SQLite to SAP HANA Cloud, then handed to an agent. Locally it is @cap-js/ai that adds the vector functions SQLite lacks and downloads an all-MiniLM L6v2 ONNX model on first start; on HANA natural language processing has to be switched on, the model name is a mandatory argument, the vectors it returns are 768 dimensions, and dimensions must match on both sides of a comparison. HANA itself can be given SAP AI Core as a remote source for other embedding models, which a CDS.ql expression has to inject because the postfix notation only takes what the CDS model holds, and the hour ends with a search function over cosine similarity exposed over @cap-js/mcp, so an agent asked about low output from solar panels calls semantic search instead of writing the query itself.Video,
Document Groundingexplains revisedDoor scope derived from the artifacts this piece also explains, so a door page lists it only where it holds (docs/concepts/content-on-doors.md).Doc,
SAP IAM integration with SAP Cloud Identity Servicesexplains revisedDoor scope proposed from the title and summary, so a door page lists the piece only where it holds (docs/concepts/content-on-doors.md).Reference architecture,
Cloudification Repositoryadded to the atlasSAP's list of released APIs for SAP Cloud ERP with successorsWeb tool,
The last 30 days. Older changes stay in each entry's history.