abap-mcp
Provides tools for offline static analysis, ABAP Cloud readiness checks, and RAP scaffolding for SAP ABAP source code.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@abap-mcpcheck cloud readiness of zold_report"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 (the open-source ABAP parser/linter) and the Model Context Protocol. 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)
Related MCP server: ABAP-ADT-API MCP-Server
Quickstart
# 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:
npm install && npm run build
claude mcp add abap-mcp -- node /path/to/abap-mcp/dist/cli.jsThen 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:
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 rationaleDirectories 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 — 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/ — 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 |
| abaplint static analysis over ABAP/CDS/BDEF sources → structured findings with rule docs links. Presets: |
| Dual-parse diff (classic baseline vs |
| 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. |
| Looks up objects (tables, CDS views, function modules, classes, …) in SAP's bundled Cloudification snapshot → |
| Generates the canonical RAP managed-BO stack (root view, behavior definition |
| Browse abaplint's ~180 rules (filter by text or tag). |
| One rule in depth — rationale (often Clean ABAP), examples, docs URL. |
| Offline pretty-printer (keyword case + indentation). |
| 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_apiand thereleasedApiFindingsin 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 checkAPI_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 in CI, or the mcp-kit
wrap-abaplintrecipe this server grew out of.
Develop
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/listTool descriptions are CI-graded (a rubric test enforces verb-first names, when-to-use, non-goals, described params, worked examples — the 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.
Credits
abaplint by Lars Hvam — the parser and rule engine underneath every tool here (MIT).
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 andscripts/build-released-api-index.mjsfor the pipeline.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.
Maintenance
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