Everything in the atlas

It writes and it administers — ETL extraction and database user management are not read operations, and the same connection that profiles a column can move data out of the tenant. Masking is only as good as the configuration naming the fields, so an unlisted sensitive column is an unmasked one.

Its README says it plainly and so does this entry: this is not a simulation, every tool call reaches a live BW system, and write operations produce real changes. BW modelling objects are the definition of a warehouse — the blast radius of a wrong one is every report built on it.

A tenant with its own model layer, its own transport and its own user administration — content moves between tenants through export and import jobs rather than through your pipeline, and planning brings a calendar and a workflow that a reporting-only use never touches.

A tenant with spaces and a role model, not a database you point an application at — privileges are granted per space, and what somebody can model depends on the scoped role they hold. Federation is the default answer to moving data, and where it is not, a load has to be scheduled and watched.

It writes and it administers — ETL extraction and database user management are not read operations, and the same connection that profiles a column can move data out of the tenant. Masking is only as good as the configuration naming the fields, so an unlisted sensitive column is an unmasked one.

It presumes the estate it governs: intelligent content is installed and viewed rather than authored, and the catalog is only as useful as what has been published into it. The Databricks path is a direction data goes, which is a decision about where analytics happens and not only about a tool.

A tenant with spaces and a role model, not a database you point an application at — privileges are granted per space, and what somebody can model depends on the scoped role they hold. Federation is the default answer to moving data, and where it is not, a load has to be scheduled and watched.

Provisioned per plan and per component, so capacity and cost are decisions taken before any model exists. And it is the database, not a warehouse — modelling, loading and cataloguing are the products above it, and reaching it directly bypasses every semantic they add.

For provisioning a managed database on BTP, see [SAP HANA Cloud](artifact:btp-hana-cloud). Features differ between HANA versions; an on-premise deployment and a cloud instance are not interchangeable without compatibility checks.

Provisioned per plan and per component, so capacity and cost are decisions taken before any model exists. And it is the database, not a warehouse — modelling, loading and cataloguing are the products above it, and reaching it directly bypasses every semantic they add.

It writes and it administers — ETL extraction and database user management are not read operations, and the same connection that profiles a column can move data out of the tenant. Masking is only as good as the configuration naming the fields, so an unlisted sensitive column is an unmasked one.

Its README says it plainly and so does this entry: this is not a simulation, every tool call reaches a live BW system, and write operations produce real changes. BW modelling objects are the definition of a warehouse — the blast radius of a wrong one is every report built on it.

A tenant with its own model layer, its own transport and its own user administration — content moves between tenants through export and import jobs rather than through your pipeline, and planning brings a calendar and a workflow that a reporting-only use never touches.

A tenant with spaces and a role model, not a database you point an application at — privileges are granted per space, and what somebody can model depends on the scoped role they hold. Federation is the default answer to moving data, and where it is not, a load has to be scheduled and watched.

It expects a real landscape, not just a project: a `.service.metadata` file naming the Mobile Services app, endpoint and destination, the Cloud Foundry CLI, and access to a BTP Cloud Foundry environment. From 0.4.0 macOS support is ARM64 only — Intel Macs are not supported — alongside Linux and Windows on x64 and ARM64.

Its README says it plainly and so does this entry: this is not a simulation, every tool call reaches a live BW system, and write operations produce real changes. BW modelling objects are the definition of a warehouse — the blast radius of a wrong one is every report built on it.

It writes and it administers — ETL extraction and database user management are not read operations, and the same connection that profiles a column can move data out of the tenant. Masking is only as good as the configuration naming the fields, so an unlisted sensitive column is an unmasked one.

This is the database, not an application in front of it, so what an agent can read is whatever the connection user can read — the guardrails bound the shape of a query, not the sensitivity of what it returns. Grant the connection the rights you would grant a person.

It acts on a real account. Authorisation is the caller's own — single sign-on through the SAP Default Identity Provider, across the global accounts that identity reaches — so what it can change is what you can change, and an agent invoking it is doing administration rather than proposing it. No public source, so what it exposes is what the documentation says it exposes.

It fronts APIs you already have; nothing here reads a system's source or model, and a config file is only as good as the entity sets somebody wrote into it. OData V2 is the query surface it names.

This is enterprise-architecture data, not a development surface — it answers what your landscape contains, never what your code does, and nothing in it belongs in a build. Entered here because it is a first-party SAP MCP endpoint and the catalogue that tracks this corner lists it; the atlas maps SAP development, so treat it as adjacent rather than as tooling for a project.

Any run nobody is watching: the drawing tools work only while the draw.io canvas at `http://localhost:3000/` is open and connected, so there is no diagram to produce on a build agent or a server. Nothing checks the result either, because the maintainer keeps a diagram linter on the [roadmap](https://github.com/etosin/arc-draw#-roadmap) rather than in the release. The maintainer marks the status early at v0.x, installs it from source, and records testing with Claude Code alone.

The README tells you to fork before cloning, because Claude rewrites `references/` and `SKILL.md` in place as you use it, so a clone shared between people changes under all of them. Installing means `git` and `ln` on macOS or Linux and a symlink into `~/.claude/skills`. Fine positioning stays manual: the coordinates Claude writes can be rough apart from the centre coordinates of elements joined by a straight arrow and the containment relationships.

It stops before the artifact: in the README's own words it does not generate or deploy complete iFlow artifacts, so building and shipping the integration flows themselves stays with a person and a tenant. Knowledge beside the work rather than a generator, and it reads nothing from a running tenant.

Its README calls it early-stage — the core workflows run end-to-end against real systems and packaging, documentation and polish are stated as still evolving. A Rust binary rather than an npm install, so the platform build matters.

It works against a tenant, through the REST API, with credentials in the environment — so these skills act rather than advise, and the review skill is a check on generated content rather than a substitute for one. Nothing here is useful without an Automation Pilot tenant to point at.

Enterprise-architecture work, not development: this describes what your landscape records, never what your code does. And the skills assume the server — without [the LeanIX MCP server](artifact:sap-leanix-mcp-server) reachable against your instance, they are instructions with nothing to call.

GPL-3.0, which is a licence to read before vendoring any of it into something you ship. Forty plugins is also a lot of always-available surface — the ledger is there because breadth and verification pull in opposite directions, and it does not resolve that so much as report it.

Provisioned per plan and per component, so capacity and cost are decisions taken before any model exists. And it is the database, not a warehouse — modelling, loading and cataloguing are the products above it, and reaching it directly bypasses every semantic they add.

An early alpha release whose README says to pin the version and test recipes against non-production data first. HANA synchronisation is snapshot-only and does not reconcile deleted rows, so a document for a row deleted in the source stays in the index. A recipe's field allow-list does not decide what the service account may read: the README states that field allow-listing does not replace SAP authorization, and that the package infers no SAP module semantics, authorization scope or safe fields from table names. Only Business Partner has a built-in recipe, every other dataset needs a `KnowledgeRecipe` written for it, and [Qdrant](external:qdrant) local mode is stated to be for development and smaller indexes.

Archived The declared repository is archived.

Functional boundary With one SAP system the README says to point the client at that arc-1 directly. Version 1 exchanges tokens within a single subaccount, so backends spread across subaccounts are out; it keeps its session map in memory, so more than one instance needs sticky sessions or a shared store. It routes deterministically and runs no model, which is a different thing from an assistant that reasons across systems. The `/all` endpoint drops the per-connection isolation, and the maintainer's answer to that is a PROD backend set read-only at the SAP end rather than a tool surface that hides the writes.

Its README says it plainly and so does this entry: this is not a simulation, every tool call reaches a live BW system, and write operations produce real changes. BW modelling objects are the definition of a warehouse — the blast radius of a wrong one is every report built on it.

It stops at the `AuthInfo` and the raw bearer token, and the README lists what stays with the consuming server: rate limiting, the scope and tool policy, the MCP transport, the SAP HTTP client's headers, and helmet-style hardening. The one piece of hardening it constrains rather than defers is the cross-origin opener policy, which it deliberately leaves unset because popup-based OAuth breaks under it. It is ESM-only on Node 22 or later and shares the host's Express and MCP SDK instances as peer dependencies, so a server on Express 4 cannot take it.

The maintainer states it is unofficial, not endorsed by SAP, and that it automates authenticated SAP web endpoints and browser session cookies in ways SAP's terms of service or an organisation's own policies may restrict. Password login is confined to `accounts.sap.com` and the standard SAP Cloud Identity Services tenant domains: a custom IAS domain, or a login that conditional authentication delegates to a corporate identity provider, fails closed before the password is filled and has to be completed through an interactive login instead.

It acts on a real account. Authorisation is the caller's own — single sign-on through the SAP Default Identity Provider, across the global accounts that identity reaches — so what it can change is what you can change, and an agent invoking it is doing administration rather than proposing it. No public source, so what it exposes is what the documentation says it exposes.

1 of 8 plans deprecated.

Never as the figure a billing decision rests on: the repository states this is not a replacement for the official billing documents, that the information it provides is purely indicative, and that it recommends verifying against the official BTP Cockpit usage reports. It is published as a sample or reference implementation and says it is not intended for production use without review, testing and hardening.