Everything in CAP / Java
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ODataSAP and community
Adding Immutable Blockchain Proofs to SAP With CAP - Cardano and OData V4Adding Immutable Blockchain Proofs to SAP With CAP - Cardano and OData V4The write-up behind ODATANO, by its author: how a public blockchain gets reachable from CAP as an ordinary OData V4 service rather than through a bespoke client. The premise it starts from is worth the read on its own — SAP systems are trusted but mutable, which is what an immutable anchor is for — and Cardano is chosen for peer-reviewed research and formal methods rather than for popularity. Written as an experiment with feedback invited, not as a recommendation.maxalexweber, published 2026-05-15
Serve your application over MCPSAP only
AI-native North Star architecture — Platform LayerAI-native North Star architecture — Platform LayerThe platform layer of SAP's North Star architecture, the chapter that says where agents run and what a developer builds them with. It names an AI Golden Path built on the SAP Cloud Application Programming Model, the ABAP Cloud development model with RAP and the SAP Fiori design system, and a managed agent runtime on SAP BTP that is designed to provide software development kits for building agents in any framework, an agent sandbox, container-hosted execution, a skills registry and continuous evaluations, which is the ground agent tooling covers. Agents are extended without changing their code through four patterns, the first of them tool extensibility through the Model Context Protocol, the concern MCP servers is named for; the process-layer chapter adds that a pro-code path with a standardised agent SDK and a prompt-driven path through the Joule Studio solution produce the same code artifact on the same runtime. It describes a design SAP intends rather than products that exist, and the SDK and the registry it names have no entry here yet.published 2026-05-13
AI-native North Star architecture — Platform Layer
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A reference.
Model Context Protocol Adapter — CAP guideModel Context Protocol Adapter — CAP guideDocuments @cap-js/mcp and com.sap.cds:cds-adapter-mcp, service annotations, generated describe/query/call tools and local client setup. The guide records Java doc-comment configuration, unbound-action-based data changes, incomplete XSUAA PKCE support and the adapter’s governance boundaries.
Natural Language Queries for SAP CAP via MCP: The LLM Translates, CDS ExecutesNatural Language Queries for SAP CAP via MCP: The LLM Translates, CDS ExecutesThe division of labour is the argument, and it is in the subtitle: the model turns English into a CDS query and CDS runs it, so nothing generates SQL and nothing hallucinates a join. Schema annotations do the resolving. Long, with the package, the repository and the MCP registry entry all linked.Shahid, published 2026-06-25
Third-Party MCP Server Access to SAP Solutions on BTPThird-Party MCP Server Access to SAP Solutions on BTPDescribes external MCP servers and custom servers on BTP, assigning their operators responsibility for authentication, scoped identity, API limits, logging and lifecycle. The permitted use remains conditional on the SAP API Policy, while SAP Integration Suite and Joule Studio are described as SAP-provided paths. Hosting a server on BTP does not automatically supply its governance controls.Dhawal Joshi, Harut Ter-Minasyan, Mirko Günther
AttachmentsSAP only
Media Handling in SAP CAPM – Backend and Frontend ImplementationMedia Handling in SAP CAPM – Backend and Frontend ImplementationFiles against a record with the front end included, which most of the attachments writing here leaves out — the entity that stores the content, the custom logic around it, and then the UI5 side that uploads and retrieves. End to end rather than one half.published 2026-03-02
Data modellingSAP only
Deep Insert in SAP CAPM Using Composition and Fiori ElementsDeep Insert in SAP CAPM Using Composition and Fiori ElementsParent and children created in one transaction, which composition already gives you in the model — the post is about what Fiori elements does with it, and what the payload looks like when the UI sends both at once.published 2026-05-22
Database connectorsSAP only
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]The first of six, and it does the thing the later parts depend on: build the Incident Management application against SQLite on a laptop, with no cloud database in sight. The series is called decoupled because the front end and the back end are deployed separately, and this part is entirely the back end.sanjucs, published 2026-05-06
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
SAP CAP on HANA XSA: Scaling Industrial Data Applications Beyond the CloudSAP CAP on HANA XSA: Scaling Industrial Data Applications Beyond the CloudCAP on HANA 2.0 XSA rather than on BTP — on-premise, and chosen for throughput. Mass ingestion through native stored procedures, which is the point at which CDS stops being the right tool and the post says so.rgadirov, published 2026-03-09
SAP CAP on HANA XSA: Scaling Industrial Data Applications Beyond the Cloud
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects Runnable code.
DestinationsSAP only
Implementing Dynamic Subaccount-Based Routing in SAP CAP with SAP BTP DestinationsImplementing Dynamic Subaccount-Based Routing in SAP CAP with SAP BTP DestinationsWhy environment variables are the wrong place for backend endpoints in a CAP application, and what replaces them: cockpit destinations resolved at runtime, with the subaccount or instance identified as the request is handled. The argument is about redeployment — an endpoint kept in the environment means a deploy every time it moves — and the shape it produces is one codebase serving several landscapes without a build per landscape.Dnyaneshwar Salve, published 2026-03-18
RFC connectivityUnmapped
Introducing open-rfc: Calling SAP RFC from Node.js Without the SDKIntroducing open-rfc: Calling SAP RFC from Node.js Without the SDKopen-rfc is a TypeScript and JavaScript RFC client for Node.js with no runtime dependencies and no SAP NetWeaver RFC SDK, written after SAP archived node-rfc and PyRFC and while the connector below @sap/cds-rfc needs an S-user, an SAP Build Code licence and a private registry. The history of RFC connectivity from Node.js is the first half; the second shows the package on its own, as an npm alias for node-rfc, and through an npm override as the connector below an unchanged @sap/cds-rfc. The 0.2.3 beta stops at direct application-server connections with password authentication and classic Unicode RFC: no message-server load balancing, SNC, tRFC, qRFC, bgRFC or server mode.published 2026-08-10
Agent access to your codeSAP and community
Agentic Engineering for SAP BTP ExtensionsAgentic Engineering for SAP BTP ExtensionsAn agent harness coordinates code generation across isolated Git worktrees, using a skills registry, SAP CAP MCP Server, Fiori MCP Server and UI5 Web Components MCP Server for development context. The diagram shows LiteLLM as a model proxy in front of SAP AI Core, while automated checks and review gate the generated changes. The worked scenario is CAP-based extensions on BTP, with specifications written before generation and reusable skills governed across teams.
Before You Upgrade S/4HANA: Static UI5 Checks with MCPBefore You Upgrade S/4HANA: Static UI5 Checks with MCPA UI5 version upgrade checked against one app by pairing two MCP servers: the ui5_version_diff tool added to mcp-sap-docs, which reads a bundle from ui5-lib-diff downloaded once at setup and filters it by version range, change type, library or query text, and @ui5/mcp-server, whose get_project_info, get_version_info, run_ui5_linter and run_manifest_validation say what the app uses and what fails. Run with a ui5-versions-upgrade.md skill on the legacy app from From SEGW and Legacy UI5 to RAP with ARC-1, from SAPUI5 1.84.59 to 1.147.2, the diff range held 985 deprecations and 961 What's New entries, and the linting and manifest validation narrowed that to findings in this app, among them jQuery.sap.require, synchronous bootstrap, the sap_belize theme, sap.m.MessagePage and an old manifest _version. The checks read the source in a local checkout and never the deployed app, so the report is a first pass: a changelog entry is not proof that a workaround can be deleted, and the app still has to be run and tested.published 2026-05-20
From SEGW and Legacy UI5 to RAP with ARC-1From SEGW and Legacy UI5 to RAP with ARC-1Three ARC-1 skills, run in Cursor with Composer-2 against a deliberately rough demo on an S/4HANA 2023 trial system, turn the SEGW service ZDEMO_MIG_PROJECTS_SRV into a managed, draft-enabled RAP business object published as OData V4, replace its ApproveProject function import and its direct UPDATE ... COMMIT WORK with the action approve_project written in EML in local mode, and rebuild the freestyle UI5 JavaScript app once in UI5 TypeScript and once as a Fiori elements list report and object page driven by metadata extensions. What the published transcripts add is how the agent got there: it found the generated MPC class names and the custom logic in DPC_EXT only by reading the system, the skills made it print the extracted model and stop for confirmation before writing, and @ui5/mcp-server, mcp-sap-docs and @sap-ux/fiori-mcp-server each had their own job beside it. The demo is small on purpose, and the post says a productive SEGW service that calls BAPIs, carries custom authorisation logic or supports deep inserts is not solved with one prompt.published 2026-05-11
From SEGW and Legacy UI5 to RAP with ARC-1
@sap-ux/fiori-mcp-server has been through 2 major lines since this was published: 0.7 (2026-05), 1 (2026-05). Affects Runnable code.
Agent guidanceSAP and community
Agentic Engineering for SAP BTP ExtensionsAgentic Engineering for SAP BTP ExtensionsAn agent harness coordinates code generation across isolated Git worktrees, using a skills registry, SAP CAP MCP Server, Fiori MCP Server and UI5 Web Components MCP Server for development context. The diagram shows LiteLLM as a model proxy in front of SAP AI Core, while automated checks and review gate the generated changes. The worked scenario is CAP-based extensions on BTP, with specifications written before generation and reusable skills governed across teams.
Teaching AI Agents Best Practices: A Skills Workspace for CAP DevelopmentTeaching AI Agents Best Practices: A Skills Workspace for CAP DevelopmentStates the gap this capability exists for more precisely than most: an agent already knows CAP well enough to generate models, handlers and deployments, but knowing a framework and following its current practice reliably are different things, because a model defaults to whatever it saw most of during training — which may be outdated, subtly wrong, or simply not how a given team works. Skills are offered as the closing mechanism, and the post describes a workspace pattern rather than a single file, with the architecture claimed to be framework-agnostic.daniel_schlachter, published 2026-06-09
Agent toolingSAP only
AI-native North Star architecture — Platform LayerAI-native North Star architecture — Platform LayerThe platform layer of SAP's North Star architecture, the chapter that says where agents run and what a developer builds them with. It names an AI Golden Path built on the SAP Cloud Application Programming Model, the ABAP Cloud development model with RAP and the SAP Fiori design system, and a managed agent runtime on SAP BTP that is designed to provide software development kits for building agents in any framework, an agent sandbox, container-hosted execution, a skills registry and continuous evaluations, which is the ground agent tooling covers. Agents are extended without changing their code through four patterns, the first of them tool extensibility through the Model Context Protocol, the concern MCP servers is named for; the process-layer chapter adds that a pro-code path with a standardised agent SDK and a prompt-driven path through the Joule Studio solution produce the same code artifact on the same runtime. It describes a design SAP intends rather than products that exist, and the SDK and the registry it names have no entry here yet.published 2026-05-13
AI-native North Star architecture — Platform Layer
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A reference.
ARC-1 with Joule Studio: Bringing Real ABAP System Context into JouleARC-1 with Joule Studio: Bringing Real ABAP System Context into JouleBrings the same BTP-deployed ARC-1 endpoint into Joule through a Joule Studio, classic edition agent configured with Anthropic Claude Sonnet 4 and two MCP servers, ARC-1 and mcp-sap-docs, for work that starts in SAP where the previous part started in Microsoft 365. Two read-only showcases carry the ABAP Cloud readiness edge: a clean core check of one class that reports it is not released, uses USR02 and BUT000 directly and has no ATC findings, and a modernisation backlog for package ZSD_LEGACY which, as that package did not exist, grouped 28 ZSD* objects into risk buckets instead. The route through SAP Integration Suite API Management or a future MCP gateway is presented as a target architecture and not yet a productive setup, because Joule Studio's documentation requires streamable HTTP destinations and does not support MCP servers that need interactive OAuth user authorisation.published 2026-05-06
ARC-1 with Joule Studio: Bringing Real ABAP System Context into Joule
arc-1 has been through 2 major lines since this was published: 0.9 (2026-05), 1 (2026-07). Affects Runnable code.
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackBanking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackThe risk it is chasing is a graph problem stated in banking terms: a borrower who looks safe alone and is the linchpin of a group ten times the size. Multi-agent, mixed AI stack, on BTP and CAP.Shahid, published 2026-06-24
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI Stack
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A recipe, Runnable code.
Building an LLM Agent in CAP Java with Spring AIBuilding an LLM Agent in CAP Java with Spring AIThe Java counterpart to the author's own Node.js post, and written as one: connecting to AI Core with the SAP AI SDK, then calling an agent and a tool through Spring AI. Opens with a section on libraries and workflows — which framework does what, and what is left to you — before any code.published 2026-06-08
Building an LLM Agent in CAP Java with Spring AI
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects Runnable code.
Building an LLM Agent using CAPBuilding an LLM Agent using CAPThe argument is that CAP is already most of what an agent framework wants — services, handlers, a typed model — so the agent is built inside it rather than beside it. AI Core through sap-ai-sdk, then Langchain for the agent and its tools. Long, with a TLDR at the top for people who want the shape without the walk.published 2026-05-27
Building an LLM Agent using CAP
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects Runnable code.
Building Durable AI Agents - Announcing the cds-langgraph-persistence PluginBuilding Durable AI Agents - Announcing the cds-langgraph-persistence PluginThe announcement, and the argument behind it. Treating an agent as a software architecture rather than a model with tools makes a list of production requirements — identity, authn and authz, multitenancy, persistence, event-driven flows, scalability, observability, CI/CD — and the author's point is that CAP already answers most of them for BTP, which is what makes LangGraph inside CAP Node.js worth doing. The post then narrows to one of those requirements, durability, and the checkpointer that supplies it. Written from a year of building agents next to real business systems rather than as a framework tour.merbinjanselm, published 2026-07-15
Building Durable AI Agents - Announcing the cds-langgraph-persistence Plugin
@mi8y/cds-langgraph-persistence has been through 3 major lines since this was published: 0.5 (2026-07), 0.6 (2026-07), 0.7 (2026-09). Affects Runnable code.
Integrating and Extending JouleIntegrating and Extending JouleSAP's reference architecture for SAP Joule across SAP cloud applications: a request is checked against a Scenario Catalog of the applications' skills and a Knowledge Catalog answered by retrieval-augmented generation, combined with the user's roles and history, sent to an LLM available through the generative AI hub, and, where a Joule function is needed, turned into a call to the backend. Its identity page is the authentication path: each user sits in the Identity Directory of Cloud Identity Services with a Global User ID, Identity Provisioning synchronises role assignments into SAP Build Work Zone, whose navigation service decides which functions a user may call, and the Destination service exchanges the user's token to call a function in the user's name. Its extension page covers Joule Studio in SAP Build, where Joule skills automate rule-based tasks over APIs and AI agents plan and reason with models and document grounding from SAP AI Core, the ground agent tooling covers; a later Joule Studio page describes a managed Joule Studio Runtime on the SAP Business AI Platform, which has no entry here.published 2026-03-16
Document extractionSAP only
Integrate CAP application as outbound channel for SAP Document AIIntegrate CAP application as outbound channel for SAP Document AIDocument AI will call you back when extraction finishes, and the callback is where this goes wrong: the CAP application has to accept an unauthenticated POST from outside without dropping CSRF protection for everything else. The answer is a middleware hooked into the CAP bootstrap, and the post spends its length on the token lifecycle rather than on the extraction.sdeissenboeck, published 2026-04-22
SAP Document AISAP Document AISAP's reference architecture for SAP Document AI, first as SAP composes the service on BTP for document extraction: OCR, pretrained models, customer-defined schemas and LLM calls through SAP AI Core and its Prompt Registry in one pipeline, with tenant-isolated persistence in SAP HANA Cloud, PostgreSQL and an object store. Its scenario pages then lay out a solution in three layers: intake through Outlook and SharePoint inbound channels, the workspace UI, the Joule Work mobile app or the upload API; classification and extraction with a confidence score per field, automatic confirmation above a threshold and review of the rest in the workspace; and posting through outbound channels, directly to a REST API, through an SAP Integration Suite flow, or through a CAP service that maps the fields and calls SAP S/4HANA over OData. Enrichment beyond the service's own master data lookup is left to a CAP application or an Integration Suite flow triggered from an outbound channel, and direct API posting leaves error handling, retries and monitoring to the application.published 2026-06-03
LLM integrationSAP only
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackBanking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackThe risk it is chasing is a graph problem stated in banking terms: a borrower who looks safe alone and is the linchpin of a group ten times the size. Multi-agent, mixed AI stack, on BTP and CAP.Shahid, published 2026-06-24
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI Stack
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A recipe, Runnable code.
Building an LLM Agent in CAP Java with Spring AIBuilding an LLM Agent in CAP Java with Spring AIThe Java counterpart to the author's own Node.js post, and written as one: connecting to AI Core with the SAP AI SDK, then calling an agent and a tool through Spring AI. Opens with a section on libraries and workflows — which framework does what, and what is left to you — before any code.published 2026-06-08
Building an LLM Agent in CAP Java with Spring AI
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects Runnable code.
Building an LLM Agent using CAPBuilding an LLM Agent using CAPThe argument is that CAP is already most of what an agent framework wants — services, handlers, a typed model — so the agent is built inside it rather than beside it. AI Core through sap-ai-sdk, then Langchain for the agent and its tools. Long, with a TLDR at the top for people who want the shape without the walk.published 2026-05-27
Building an LLM Agent using CAP
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects Runnable code.
cds-toon-ai-protocol-adapter: a pragmatic way to cut AI token costs using SAP CAPcds-toon-ai-protocol-adapter: a pragmatic way to cut AI token costs using SAP CAPNames a cost most CAP-plus-LLM writing ignores: every JSON payload streamed to a model is billed by its verbosity, in latency as well as money. The plugin brings TOON — Token-Oriented Object Notation — to a CAP service so the wire format changes without the service code doing so, in a REST variant and an OData one, with token counts reported on both sides.published 2026-01-25
Data MaskingData MaskingData masking replaces identifiable or confidential text in a prompt with placeholders such as <Person_0> or <Organization_1> before it reaches a large language model, using pattern matching and machine learning to find what to replace. The page states SAP AI Core supports it as a feature and sets out five steps for applying it, defining the masking scope, choosing a technique, preserving the prompt's intent, checking compliance and risk, then testing and monitoring the result. That is the shape data masking takes on the BTP door.
Document GroundingDocument GroundingDocument Grounding is a managed retrieval-augmented-generation service under the Generative AI Hub on BTP, which SAP's page on SAP AI Core places inside that service: it ingests documents from Amazon S3, SharePoint, SAP Document Management Service, SAP Work Zone or an SFTP server, and handles chunking, embedding and retrieval itself, refreshing content automatically when a source document changes. The page states this managed path is recommended for most enterprise scenarios because it covers the whole lifecycle end to end, and offers a separate Document Grounding Vector API for data that is already chunked and embedded, for cases that need finer control over chunking and metadata.
Enhancing Enterprise Applications: AI-powered User Experience with SAP CAP AI PluginEnhancing Enterprise Applications: AI-powered User Experience with SAP CAP AI PluginStarts from the blank form nobody wants to fill in, and asks what an enterprise application should do about it. The AI is in service of that rather than the subject of it.published 2026-04-29
Integrating a Custom AI Model into SAP CAP Using AI LaunchpadIntegrating a Custom AI Model into SAP CAP Using AI LaunchpadYour own model rather than a hosted one: deployed to AI Core, made callable through AI Launchpad, then reached from CAP. The case a lot of companies ask about and few posts cover.egeAksoyek, published 2026-03-20
Integrating a Custom AI Model into SAP CAP Using AI Launchpad
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects Runnable code.
Natural Language Queries for SAP CAP via MCP: The LLM Translates, CDS ExecutesNatural Language Queries for SAP CAP via MCP: The LLM Translates, CDS ExecutesThe division of labour is the argument, and it is in the subtitle: the model turns English into a CDS query and CDS runs it, so nothing generates SQL and nothing hallucinates a join. Schema annotations do the resolving. Long, with the package, the repository and the MCP registry entry all linked.Shahid, published 2026-06-25
Prompt TemplatingPrompt TemplatingPrompt templating replaces a static prompt with a structured, reusable template whose placeholders are filled in at runtime, which the page says helps LLM responses stay consistent and lets the same instructions be adapted across tasks. On SAP AI Core this is implemented through the Prompt Registry, and the page states that storing prompts as plain strings in code is possible but not recommended. That is prompt management as a stored and managed object rather than a string embedded in the caller.
UI5 AI Features library is now an npm PackageUI5 AI Features library is now an npm PackageThe release note for a demo turning into a dependency, and it is explicit about why that matters: the earlier version worked, but using it meant cloning the repo and copying both halves, which stops working the moment one of them changes. The post walks through what shipping the CAP plugin and the be.wl.ai control library in one npm version buys — a client and server contract that cannot drift — then lists the eleven controls by group, shows the two-line configuration that activates each half, and notes that this version is actually deployed on BTP behind both a standalone approuter and Work Zone. It closes on the demo repository, written with no library source in it as the test that the package stands alone.published 2026-08-31
UI5 AI Features library is now an npm Package
cds 8, line ended. Affects Runnable code.
RAG on CDSUnmapped
Document GroundingDocument GroundingDocument Grounding is a managed retrieval-augmented-generation service under the Generative AI Hub on BTP, which SAP's page on SAP AI Core places inside that service: it ingests documents from Amazon S3, SharePoint, SAP Document Management Service, SAP Work Zone or an SFTP server, and handles chunking, embedding and retrieval itself, refreshing content automatically when a source document changes. The page states this managed path is recommended for most enterprise scenarios because it covers the whole lifecycle end to end, and offers a separate Document Grounding Vector API for data that is already chunked and embedded, for cases that need finer control over chunking and metadata.
Tool governanceUnmapped
A Clearer View of Your SAP Integrations Under the New API PolicyA Clearer View of Your SAP Integrations Under the New API PolicyThe SAP API Policy Evidence Skill assesses one SAP interface or usage pattern at a time against SAP API Policy v.4.2026a, reading evidence from five MCP servers, among them servers for the Business Accelerator Hub and SAP Notes, mcp-sap-docs and a read-only ARC-1, and returns one of four labels with a confidence level, an evidence table, residual risk and questions for SAP. It gives no compliant or not compliant answer on purpose, because SAP's FAQ (Q49) declines to publish a binding decision matrix, and it sends legal, commercial and roadmap questions to SAP and lowers its confidence when a source is not connected. Four sample runs show the method, among them ODP-RFC extraction labelled likely not aligned under SAP Note 3255746 and the same API_SALES_ORDER_SRV assessed differently for an autonomous agent behind a custom gateway and for a Boomi middleware flow; the SAP Notes and Business Accelerator Hub servers read SAP sites through a browser login, which the post says to use at your own risk.published 2026-06-02
Agentic Engineering for SAP BTP ExtensionsAgentic Engineering for SAP BTP ExtensionsAn agent harness coordinates code generation across isolated Git worktrees, using a skills registry, SAP CAP MCP Server, Fiori MCP Server and UI5 Web Components MCP Server for development context. The diagram shows LiteLLM as a model proxy in front of SAP AI Core, while automated checks and review gate the generated changes. The worked scenario is CAP-based extensions on BTP, with specifications written before generation and reusable skills governed across teams.
Third-Party MCP Server Access to SAP Solutions on BTPThird-Party MCP Server Access to SAP Solutions on BTPDescribes external MCP servers and custom servers on BTP, assigning their operators responsibility for authentication, scoped identity, API limits, logging and lifecycle. The permitted use remains conditional on the SAP API Policy, while SAP Integration Suite and Joule Studio are described as SAP-provided paths. Hosting a server on BTP does not automatically supply its governance controls.Dhawal Joshi, Harut Ter-Minasyan, Mirko Günther
AuthenticationSAP only
Integrating and Extending JouleIntegrating and Extending JouleSAP's reference architecture for SAP Joule across SAP cloud applications: a request is checked against a Scenario Catalog of the applications' skills and a Knowledge Catalog answered by retrieval-augmented generation, combined with the user's roles and history, sent to an LLM available through the generative AI hub, and, where a Joule function is needed, turned into a call to the backend. Its identity page is the authentication path: each user sits in the Identity Directory of Cloud Identity Services with a Global User ID, Identity Provisioning synchronises role assignments into SAP Build Work Zone, whose navigation service decides which functions a user may call, and the Destination service exchanges the user's token to call a function in the user's name. Its extension page covers Joule Studio in SAP Build, where Joule skills automate rule-based tasks over APIs and AI agents plan and reason with models and document grounding from SAP AI Core, the ground agent tooling covers; a later Joule Studio page describes a managed Joule Studio Runtime on the SAP Business AI Platform, which has no entry here.published 2026-03-16
Third-Party MCP Server Access to SAP Solutions on BTPThird-Party MCP Server Access to SAP Solutions on BTPDescribes external MCP servers and custom servers on BTP, assigning their operators responsibility for authentication, scoped identity, API limits, logging and lifecycle. The permitted use remains conditional on the SAP API Policy, while SAP Integration Suite and Joule Studio are described as SAP-provided paths. Hosting a server on BTP does not automatically supply its governance controls.Dhawal Joshi, Harut Ter-Minasyan, Mirko Günther
AuthorizationSAP only
Dynamic authorisation with user attributes in SAP CAP and AMSDynamic authorisation with user attributes in SAP CAP and AMSThe same argument as the XSUAA-to-AMS piece, opened from a concrete failure: an acquisition puts 500 users on sales data restricted by division, and role-based access control answers it with Sales_Manager_EMEA, Sales_Manager_APAC and so on until the roles multiply past managing. Attribute-based authorisation replaces the set with one policy carrying a restriction, and the post walks through defining it in AMS against Cloud Identity Services. The clearest statement of role explosion among the three AMS pieces here.pedro_iranzo, published 2026-05-04
From XSUAA to AMS: Architecting S4HANA CAP Extensions with Policy-Based AuthorizationFrom XSUAA to AMS: Architecting S4HANA CAP Extensions with Policy-Based AuthorizationWhy scope-based authorization runs out, argued from enterprise extension work rather than from the documentation: XSUAA handles roles well, but real requirements are business-context restrictions — country, company code, organisational unit — and expressing those as scopes does not scale. The migration to policy-based authorization is presented as an architectural move for S/4HANA extensions rather than a configuration change.Avinash Vaidya, published 2026-05-27
How to Restrict CRUD Operations in SAP CAPM Using @Capabilities, @readonly and Test APIs with .httpHow to Restrict CRUD Operations in SAP CAPM Using @Capabilities, @readonly and Test APIs with .httpEntities are exposed with full CRUD by default, and this is how to take operations away again — @Capabilities for Insert, Update and Delete individually, @readonly for the blunt version. Tested with .http files rather than a UI, which keeps the check on the service.DeepaRagho, published 2026-05-22
SAP BTP XSUAA Security Configuration Comparison: Attribute-Based vs. Authority-Based ApproachesSAP BTP XSUAA Security Configuration Comparison: Attribute-Based vs. Authority-Based ApproachesTwo shapes of the same xs-security.json set against each other, with the resulting JWT printed for both. The consequence for application code is what makes it worth reading: under the attribute-based configuration a CAP handler reads req.user.attr.department, and under the authority-based one it does not, because the attribute is not there. Carries a migration guide between the two.rajeshkputumbaka, published 2026-02-18
Change trackingSAP only
New and improved: Change Tracking pluginNew and improved: Change Tracking pluginThe 2.0 announcement, and unusually candid about why there is a 2.0 at all: the plugin already existed and was, in the author's words, plagued by many issues. What it records is every insert, update and delete with the user and the timestamp, aimed at root-cause analysis and at detecting changes nobody authorised. Generally available as of this post, having been hinted at as beta in the April release notes.published 2026-06-12
New and improved: Change Tracking plugin
cds 2, line ended. Affects A recipe, Runnable code.
DeploymentCommunity only
From Concept to action: Hands-On with the CAP Operator and the Partner Reference ApplicationFrom Concept to action: Hands-On with the CAP Operator and the Partner Reference ApplicationThe CAP Operator applied to a real application rather than a sample of its own — SAP's Partner Reference Application, taken from plugin integration through containerisation to custom resources. The transition to CRDs is the part that repays attention: it is where the deployment stops being an mta and becomes Kubernetes.ChristianWeiss, published 2026-05-21
MultitenancySAP only
Building a SaaS Multitenant Application Using SAP CAP Framework — Without a DatabaseBuilding a SaaS Multitenant Application Using SAP CAP Framework — Without a DatabaseMultitenancy with the database taken out, which is a useful way to see what is left: the approuter and its tenant host pattern, the XSUAA instance in shared tenant mode, and the SaaS Registry binding that makes a subscription happen. Everything here is subscription lifecycle and routing, so the parts that are usually entangled with HDI container provisioning are visible on their own.DebashishDas, published 2026-05-06
From Concept to action: Hands-On with the CAP Operator and the Partner Reference ApplicationFrom Concept to action: Hands-On with the CAP Operator and the Partner Reference ApplicationThe CAP Operator applied to a real application rather than a sample of its own — SAP's Partner Reference Application, taken from plugin integration through containerisation to custom resources. The transition to CRDs is the part that repays attention: it is where the deployment stops being an mta and becomes Kubernetes.ChristianWeiss, published 2026-05-21
Local developmentSAP only
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]The first of six, and it does the thing the later parts depend on: build the Incident Management application against SQLite on a laptop, with no cloud database in sight. The series is called decoupled because the front end and the back end are deployed separately, and this part is entirely the back end.sanjucs, published 2026-05-06
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
Set up VS Code on Chrome OS for local Application Programming Model developmentSet up VS Code on Chrome OS for local Application Programming Model developmentA CAP development environment on a Chromebook, written from preference rather than constraint — the author sets out why Chrome OS is his primary machine before showing the setup. Carries its own updates section noting what has changed since, which for a 2018 post about an operating system is most of it. The interest now is that local CAP development was portable this early.published 2018-10-16
Set up VS Code on Chrome OS for local Application Programming Model development
Local development has changed twice since this was published, most recently in @sap/cds-dk 7.9.1, 2024-05-02. Affects Runnable code.
TestingSAP and community
How to Restrict CRUD Operations in SAP CAPM Using @Capabilities, @readonly and Test APIs with .httpHow to Restrict CRUD Operations in SAP CAPM Using @Capabilities, @readonly and Test APIs with .httpEntities are exposed with full CRUD by default, and this is how to take operations away again — @Capabilities for Insert, Update and Delete individually, @readonly for the blunt version. Tested with .http files rather than a UI, which keeps the check on the service.DeepaRagho, published 2026-05-22
Draft handlingSAP only
Custom Handlers for Entities in SAP CAPCustom Handlers for Entities in SAP CAPWritten from the moment of not knowing: a two-level composition with drafts, the Fiori elements UI working perfectly, and no idea which handlers are actually needed. What comes out is the action lifecycle laid out as a reference — NEW, EDIT, PATCH and the rest — with a matrix saying which handler fires for which, which is the thing the documentation leaves you to assemble.xavisanse, published 2026-02-20
Fiori annotationsSAP only
Deep Insert in SAP CAPM Using Composition and Fiori ElementsDeep Insert in SAP CAPM Using Composition and Fiori ElementsParent and children created in one transaction, which composition already gives you in the model — the post is about what Fiori elements does with it, and what the payload looks like when the UI sends both at once.published 2026-05-22
From SEGW and Legacy UI5 to RAP with ARC-1From SEGW and Legacy UI5 to RAP with ARC-1Three ARC-1 skills, run in Cursor with Composer-2 against a deliberately rough demo on an S/4HANA 2023 trial system, turn the SEGW service ZDEMO_MIG_PROJECTS_SRV into a managed, draft-enabled RAP business object published as OData V4, replace its ApproveProject function import and its direct UPDATE ... COMMIT WORK with the action approve_project written in EML in local mode, and rebuild the freestyle UI5 JavaScript app once in UI5 TypeScript and once as a Fiori elements list report and object page driven by metadata extensions. What the published transcripts add is how the agent got there: it found the generated MPC class names and the custom logic in DPC_EXT only by reading the system, the skills made it print the extracted model and stop for confirmation before writing, and @ui5/mcp-server, mcp-sap-docs and @sap-ux/fiori-mcp-server each had their own job beside it. The demo is small on purpose, and the post says a productive SEGW service that calls BAPIs, carries custom authorisation logic or supports deep inserts is not solved with one prompt.published 2026-05-11
From SEGW and Legacy UI5 to RAP with ARC-1
@sap-ux/fiori-mcp-server has been through 2 major lines since this was published: 0.7 (2026-05), 1 (2026-05). Affects Runnable code.
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-2]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-2]Part 1 left a working OData service whose Fiori preview showed nothing useful. This is the annotations that fix that — the UI vocabulary added to the CDS model until the generated list report has columns worth reading.sanjucs, published 2026-05-07
Reference appsCommunity only
From Concept to action: Hands-On with the CAP Operator and the Partner Reference ApplicationFrom Concept to action: Hands-On with the CAP Operator and the Partner Reference ApplicationThe CAP Operator applied to a real application rather than a sample of its own — SAP's Partner Reference Application, taken from plugin integration through containerisation to custom resources. The transition to CRDs is the part that repays attention: it is where the deployment stops being an mta and becomes Kubernetes.ChristianWeiss, published 2026-05-21
Under no capability
Building an Enterprise-Ready SAP AI Agent with Open SourceBuilding an Enterprise-Ready SAP AI Agent with Open SourceA self-hosted chat agent for SAP systems: LibreChat as UI and orchestrator with Entra ID sign-in and SharePoint connected, a local LLM through Ollama, and two MCP servers, mcp-sap-docs for public documentation and the ADT MCP server vibing-steampunk for the system itself. The ADT server runs in its read-only mode under a technical user with display authorisations only, so the agent can find a function module and pull its source, or locate a RAP business object with its behaviour definition and projection view, but cannot change anything. Two workflows show it, explaining what BAPI_DISPUTE_CREATE does in one system and planning a RAP action from a PDF specification, where the generated ABAP is copied into Eclipse by hand; the full setup is in the marianfoo/llm-client-sap-system-integration-sharepoint repository.published 2026-03-03
Federating, Replicating, and Caching Remote Data in CAP — Part 2Federating, Replicating, and Caching Remote Data in CAP — Part 2The practical half of the pair. Where Part 1 sets out the terminology, what CAP does out of the box and where the gaps are, this one builds a small application that federates, replicates and caches remote data, one step at a time, with the finished project published as sales-cockpit so a reader can either follow along or start from the end. It began as a twenty-minute reCAP talk, which the author says was only room for the intro.published 2026-07-17
Finally: An MCP Server for ABAPFinally: An MCP Server for ABAPAnnounces the ABAP variant of mcp-sap-docs, published at mcp-abap.marianzeis.de for GitHub Copilot's Agent Mode in ADT for Eclipse, which the post names as the trigger, with ABAP knowledge still a recurring problem in the models. Documentation irrelevant to ABAP was removed from the SAP docs server and the ABAP Keyword Documentation, the DSAG ABAP Development Guidelines and the ABAP Style Guide were added, with search reaching past the local index to SAP Community posts and SAP Help. Copilot in Eclipse is where the post puts the weight, because SAP Joule for Developers, ABAP AI capabilities in Eclipse is not available for S/4HANA on-premise systems; an update of 2026-02-05 adds Software Heroes as an online source and an abap_feature_matrix tool that checks feature availability across releases and ABAP Cloud, and the server runs hosted or locally with Node or Docker.published 2026-02-04