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# abap-mcp

**MCP server for SAP ABAP — offline static analysis, ABAP Cloud readiness, and RAP scaffolding.**
No SAP system. No credentials. Works on ABAP source wherever your AI agent works: a git checkout,
an abapGit export, a code review, CI.

Built on [abaplint](https://abaplint.org) (the open-source ABAP parser/linter) and the
[Model Context Protocol](https://modelcontextprotocol.io). TypeScript, 100% local — the server
makes **zero network calls** and reads **no user files**: sources go in as text, findings come
back as structured JSON. (The released-API list and abaplint's rule data are package-bundled
assets that ship inside the install — no network, no user filesystem, at runtime.)

## Why this exists

Every other ABAP MCP server is either a **bridge to a live SAP system** (ADT/RFC — needs
credentials, a system, and trust) or a **documentation search**. But AI coding agents spend most
of their time where the *files* are — editing abapGit repos, reviewing diffs, generating code —
long before anything reaches a system. This server gives agents the missing feedback loop at that
layer:

- *"Does this ABAP parse? Is it clean? How does it perform?"* → `lint_abap` (+ focus packs)
- *"How far is this classic report from ABAP Cloud? Grade it."* → `check_cloud_readiness` (A–D)
- *"Did this rework make the code better or worse?"* → `compare_abap`
- *"Is MARA a released API? What do I use instead?"* → `check_released_api`
- *"Start me a correct RAP business object."* → `scaffold_rap_bo`
- *"What's in this 4,000-line class? Draw it."* → `get_abap_outline` (+ Mermaid)

## Quickstart

```bash
# Claude Code
claude mcp add abap-mcp -- npx -y abap-mcp

# or any MCP client (.mcp.json / mcp.json):
{
  "mcpServers": {
    "abap-mcp": { "command": "npx", "args": ["-y", "abap-mcp"] }
  }
}
```

From a clone instead:

```bash
npm install && npm run build
claude mcp add abap-mcp -- node /path/to/abap-mcp/dist/cli.js
```

Then ask your agent things like *"lint this class against ABAP Cloud"*, *"is zold_report
cloud-ready?"*, or *"scaffold a RAP BO for entity Booking on table zbooking, draft enabled"*.

## CLI — same engine, no AI required

Every tool is also a subcommand, so it works in terminals and CI where no MCP client exists:

```bash
npx abap-mcp lint src/                          # lint files or whole directories
npx abap-mcp lint src/ --focus Performance      # themed pass: Performance | Security | Styleguide
npx abap-mcp lint src/ --rules-file org.json    # your org's abaplint rule pack, same engine
npx abap-mcp readiness src/ --fail-below 80     # repo-level ABAP Cloud readiness, scored + graded A–D
npx abap-mcp compare old/ new/                  # rework verdict: findings resolved/introduced, grade movement
npx abap-mcp scaffold --entity Travel --table ztravel --key travel_id --out ./out
npx abap-mcp outline src/zcl_monster.clas.abap  # navigate big objects (--mermaid for a diagram)
npx abap-mcp released MARA I_Product            # released-API status + CDS successor
npx abap-mcp explain exit_or_check              # rule rationale
```

Directories are walked recursively (abapGit naming), batched automatically, and `readiness`
merges batches into one scored, categorized repo report. Exit codes are CI-friendly
(`1` on error findings / failed threshold).

## Recipes, agents & CI

**[docs/COOKBOOK.md](docs/COOKBOOK.md)** — practical recipes: the fix-until-clean loop,
PR review without a transport, whole-repo migration triage, CI gates, per-persona use cases.
**[examples/claude-code/](examples/claude-code/)** — drop-in agentic workflows: an
`abap-code-reviewer` subagent, an `abap-cloud-migrator` sweep loop (readiness score as the
loop condition), per-repo `.mcp.json`, and a GitHub Actions quality gate for abapGit repos.

## Tools

| Tool | What it does |
| --- | --- |
| `lint_abap` | abaplint static analysis over ABAP/CDS/BDEF sources → structured findings with rule docs links. Presets: `style` (default, snippet-friendly), `full`, `syntax-only`; per-rule overrides for org rule packs; `focus` lens (`Performance` / `Security` / `Styleguide`) for themed reviews. |
| `check_cloud_readiness` | Dual-parse diff (classic baseline vs `Cloud`): statements that are valid today but illegal in ABAP Cloud become categorized blockers (dynpro, list output, native SQL, …) with a transparent score **and a density-banded A–D tech-debt grade**; code broken at the baseline is reported separately, not counted as migration work. Also surfaces a **separate, dated released-API cross-check** (`releasedApiFindings`): direct access to non-released classic tables and deprecated-API usage found in the source, with CDS successor hints — informational, not folded into the score. |
| `compare_abap` | Before/after verdict on a rework: lint findings resolved vs introduced (matched by content, so moved code isn't noise), blocker/score/grade movement, and classes/methods/FORMs added or removed. The objective referee for refactors and AI rewrites. |
| `check_released_api` | Looks up objects (tables, CDS views, function modules, classes, …) in SAP's bundled Cloudification snapshot → `released` / `deprecated` / `not-released` per object, plus a curated CDS successor for common classic tables. The released-API half of readiness, offline. |
| `scaffold_rap_bo` | Generates the canonical RAP managed-BO stack (root view, behavior definition `strict(2)` + optional draft, behavior class + handler locals, projection, metadata extension, OData V4 service definition) plus suggested table DDL, activation order and next steps. |
| `list_abap_rules` | Browse abaplint's ~180 rules (filter by text or tag). |
| `explain_abap_rule` | One rule in depth — rationale (often Clean ABAP), examples, docs URL. |
| `format_abap` | Offline pretty-printer (keyword case + indentation). |
| `get_abap_outline` | Classes/methods/visibility/interfaces/FORMs of a source — navigate big objects without reading them whole. Optional Mermaid classDiagram output for instant structure visuals. |

## Honesty box — what this is *not*

- **Not ATC.** The objective readiness *score* is still language-level: statements ABAP Cloud
  removed. Released-API coverage is now **partial and offline**: `check_released_api` and the
  `releasedApiFindings` in readiness reflect SAP's published Cloudification list *as of the
  bundled snapshot date* — they cover tables and function modules referenced in your source, not
  every API, and are only as current as the snapshot. A target system's own released-API list
  (ATC check `API_RELEASE_STATE_CHECK` / `SAP_CP_READINESS`) remains authoritative; treat an
  "absent from the list" result as "not released as of the snapshot", not as proof.
- **Scaffold validation is tiered.** Generated classes and CDS views are round-tripped through
  abaplint at Cloud level before they're returned (the generator and the linter share one
  parser). Behavior/service definitions are outside abaplint's checked surface — they are
  golden-tested canonical templates, and ADT activation is the final arbiter. Each generated
  file is labeled `validated: "abaplint" | "template"`.
- **Text-in only, by design.** No user-filesystem walking, no network — the entire attack
  surface is a parser over strings you explicitly pass. (The released-API snapshot and abaplint's
  rule data are package-bundled assets imported from the install, not fetched or read from your
  disk.) For linting whole directories, use the [abaplint CLI](https://abaplint.org) in CI, or the
  [mcp-kit `wrap-abaplint` recipe](https://github.com/palimkarakshay/mcp-kit) this server grew out of.

## Develop

```bash
npm install
npm run check     # typecheck + 149 tests + build — the CI gate
node dist/cli.js  # stdio MCP server
npx @modelcontextprotocol/inspector --cli node dist/cli.js --method tools/list
```

Tool descriptions are CI-graded (a rubric test enforces verb-first names, when-to-use,
non-goals, described params, worked examples — the
[mcp-kit](https://github.com/palimkarakshay/mcp-kit) discipline; the full mcp-kit lint scores all
nine tools 100/100).

## Design

The decision log — why offline, why abaplint, why a dual-parse readiness diff, why the
scaffolder validates its own output, what was deliberately left out — lives in
[`docs/DESIGN.md`](docs/DESIGN.md).

## Credits

- [abaplint](https://github.com/abaplint/abaplint) by Lars Hvam — the parser and rule engine
  underneath every tool here (MIT).
- [SAP/abap-atc-cr-cv-s4hc](https://github.com/SAP/abap-atc-cr-cv-s4hc) — SAP's official ABAP
  Cloudification Repository (object release list), **Apache-2.0**. The bundled released-API
  snapshot (`src/data/released-apis.json`, snapshot **2026-06-10**) is a compact transform of
  that data, redistributed under Apache-2.0 with attribution; see
  [docs/DESIGN.md](docs/DESIGN.md) and `scripts/build-released-api-index.mjs` for the pipeline.
- [mcp-kit](https://github.com/palimkarakshay/mcp-kit) — the production-MCP patterns this server
  follows (typed tool specs, transport discipline, description lint).

MIT © Akshay Palimkar. Not affiliated with or endorsed by SAP SE. "SAP", "ABAP" and "RAP" are
trademarks of SAP SE; this is an independent open-source tool for developers working with them.

TDQS

A4.8/5.0

Scored across 9 tools

Disambiguation5/5

Every tool targets a distinct operation: linting, cloud readiness, released API lookup, formatting, outline, scaffolding, comparison, and rule catalog/explanation. Even though lint_abap, check_cloud_readiness, and compare_abap all analyze ABAP source, their descriptions clearly differentiate them by purpose and output.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in lower_snake_case (compare_abap, lint_abap, check_cloud_readiness, scaffold_rap_bo, etc.). The pattern is predictable and aligns with the tool's action.

Tool Count5/5

With 9 tools, the set is well-scoped for an ABAP development assistant. Each tool covers a distinct part of the development workflow without unnecessary redundancy or bloat.

Completeness5/5

The set covers the core needs of static analysis (lint, cloud readiness, released APIs), code generation (scaffold RAP BO), formatting, structural navigation, diffing, and rule exploration. No obvious dead ends or missing critical operations for its stated purpose.

Maintenance

ActivitySlowing
ResponsivenessNo issues