abap-mcp

Make your AI coding agent an expert SAP ABAP & RAP consultant — local by default. No SAP system, no credentials, one command to install.

abap-mcp is a Model Context Protocol server that gives any AI coding agent — Claude Code, GitHub Copilot, Cursor, Codex, Windsurf — real ABAP senses, built on abaplint (the open-source ABAP parser/linter). The agent brings the reasoning; abap-mcp brings ground truth: a deterministic parser, objective scores, and validated generators that keep the AI honest. It works on ABAP source wherever your agent works — a git checkout, an abapGit export, a code review, CI — long before anything reaches a system.

• New to ABAP or RAP? Your agent becomes the senior consultant looking over your shoulder: every snippet linted against Clean ABAP as you write (lint_abap), every finding explained with its rationale and examples (explain_abap_rule), and scaffold_rap_bo starts you from a canonical, self-validated RAP business object instead of a blank editor.
• Senior ABAP consultant? It's your assessment and task engine: point your agent at a repo and get a scored, categorized ABAP Cloud readiness report with an A–D tech-debt grade (check_cloud_readiness), a phased migration backlog with efforts and exit criteria (plan_cloud_migration), an objective before/after verdict on every rework (compare_abap), released-API replacements (check_released_api), and CI gates that hold the line while the migration proceeds.

The default stdio edition is 100% local: the analysis engine makes zero network calls and reads no user files. Sources go in as text and structured findings come back. The released-API list and abaplint rule data are package-bundled. An optional guarded Streamable HTTP edition makes the same tools available to remote clients such as ChatGPT web; in that mode, source text is sent to the machine you host. See privacy and data handling.

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)
• "Fix this block automatically — casing, obsolete syntax." → fix_abap (deterministic, parser-guaranteed)
• "How far is this classic report from ABAP Cloud? Grade it." → check_cloud_readiness (A–D)
• "Plan the migration — what do we tackle first?" → plan_cloud_migration (phased backlog)
• "This class has no tests — start me a harness." → scaffold_abap_unit (failing-by-default)
• "What depends on what? Migrate which object first?" → get_object_dependencies (+ Mermaid)
• "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)

Install — 60 seconds

The only requirement is Node.js 20+. No SAP system, no credentials, no API keys. New to AI tooling (or ABAP)? Follow the from-zero walkthrough in docs/INSTALL.md — or let the installer do it:

npx abap-mcp setup     # detects VS Code / Claude Code and registers the server; guides Eclipse

Otherwise, pick your client:

Codex CLI · Codex IDE extension · ChatGPT desktop — one command configures all three on the same Codex host:

codex mcp add abap-mcp -- npx -y abap-mcp

Restart ChatGPT desktop or the IDE extension, then use /mcp to confirm abap-mcp is connected. In ChatGPT desktop you can alternatively open Settings → MCP servers → Add server, choose STDIO, and enter command npx with arguments -y abap-mcp.

Codex plugin (MCP server + review/mentor/migration skills)

codex plugin marketplace add palimkarakshay/abap-mcp
codex plugin add abap-mcp@abap-mcp

ChatGPT web cannot start a local npx process. It needs a deployed HTTPS /mcp endpoint or a secure development tunnel. This repository ships the HTTP entry point and hardening controls, but does not operate a public service. Follow the OpenAI setup and self-hosting guide.

Claude Code

claude mcp add abap-mcp -- npx -y abap-mcp

VS Code (Copilot agent mode) — one click on the Install in VS Code badge above, or one command:

code --add-mcp '{"name":"abap-mcp","command":"npx","args":["-y","abap-mcp"]}'

For a whole team, commit examples/vscode/mcp.json as .vscode/mcp.json in your abapGit repo — everyone who opens the folder gets the server offered automatically.

Eclipse (via the GitHub Copilot plugin) — Copilot Chat in Eclipse speaks MCP: open the Copilot menu → Edit preferences → MCP, and add the same "abap-mcp" server block (command npx, args ["-y", "abap-mcp"]). Steps and prerequisites: GitHub's MCP docs, Eclipse tab. Stock ADT without Copilot has no MCP client today.

Cursor · Windsurf · any MCP client — add this to its mcp.json / .mcp.json (project or global):

{
  "mcpServers": {
    "abap-mcp": { "command": "npx", "args": ["-y", "abap-mcp"] }
  }
}

Claude Desktop — Settings → Developer → Edit Config, add the same mcpServers block to claude_desktop_config.json, restart.

From a clone (contributing / hacking):

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

Connected? Ask your agent "list your ABAP tools" — you should see all thirteen, lint_abap through get_abap_outline.

First things to ask

• "Here's my functional spec — build the RAP implementation from it." (or run /mcp__abap-mcp__abap-from-spec)
• "Lint this class against ABAP Cloud and explain the worst finding like I'm new to ABAP."
• "How cloud-ready is this repo? Grade it and plan the migration in phases."
• "Is MARA a released API? What do I use instead?"
• "Scaffold a RAP BO for entity Booking on table zbooking, draft enabled."
• "I reworked zcl_pricing — compare old vs new: did it actually get better?"

Guided workflows built in (MCP prompts)

The consultant's playbook ships both as four MCP prompts and as four Codex plugin skills. In Claude Code the prompts appear as slash commands (/mcp__abap-mcp__…); prompt-capable clients list them natively, while the Codex plugin discovers the corresponding skills:

CLI — same engine, no AI required

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