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mcp-rap-migrator

mcp-rap-migrator

mcp-rap-migrator

AI Agent that migrates SAP Module Pool programs → RAP applications, interactively.

Built on MCP (Model Context Protocol) + Anthropic Claude + SAP ADT REST APIs.


Architecture

Human Developer
    ↕ approves every step
Orchestrator Agent (Claude claude-sonnet-4-6)
    ↕ system prompt = MIGRATION_GUIDE.md (loaded once, token-efficient)
mcp-rap-migrator (THIS server) — write/transform tools
    ↕ delegates read-only calls to
mcp-abap-adt (mario-andreschak) — GetProgram, GetInclude, SearchObject
    ↕ both call
SAP ADT REST API  /sap/bc/adt/
    ↕
SAP ABAP System (S/4HANA or BTP ABAP)

Related MCP server: SAP ADT MCP Server

Why TWO MCP servers?

Server

Responsibility

Reason

mcp-abap-adt

Read: GetProgram, GetClass, SearchObject

Already built, battle-tested, reuse it

mcp-rap-migrator (this)

Write + Transform: analyze, generate, write, activate

New — wraps ADT write APIs + AI code generation

Tools (this server)

Tool

Purpose

Step

analyze_module_pool

Read + parse Module Pool → structured JSON

1

generate_rap_skeleton

JSON analysis → CDS/BDef/Impl ABAP code strings

2

human_checkpoint

MANDATORY gate — shows human: what got, analysis, next action

Every step

create_transport

Create Workbench Transport Request in SAP

3

write_abap_object

PUT one ABAP object source via ADT REST

4

validate_and_activate

Activate objects, return syntax errors

5

Token Efficiency Design

  • MIGRATION_GUIDE.md loaded once as system prompt — not re-sent every call

  • analyze_module_pool returns compact JSON (not raw ABAP source)

  • human_checkpoint shows only first 30 lines of code previews

  • Errors: only the error message, not the full XML response body

  • CSRF token reused across calls — not re-fetched every request

Prerequisites

  1. SAP system with /sap/bc/adt active in SICF

  2. Also install: mcp-abap-adt — npx -y @smithery/cli install @mario-andreschak/mcp-abap-adt --client cline

  3. Node.js 20+ and npm

Setup

git clone <this-repo>
cd mcp-rap-migrator
npm install
npm run build
cp .env.example .env
# Edit .env with your SAP credentials

Configure in Cline / Claude Desktop

{
  "mcpServers": {
    "mcp-abap-adt": {
      "command": "node",
      "args": ["C:/PATH/mcp-abap-adt/dist/index.js"],
      "env": {
        "SAP_URL": "https://your-sap.com:8000",
        "SAP_USERNAME": "user",
        "SAP_PASSWORD": "pass",
        "SAP_CLIENT": "100"
      }
    },
    "mcp-rap-migrator": {
      "command": "node",
      "args": ["C:/PATH/mcp-rap-migrator/dist/index.js"],
      "env": {
        "SAP_URL": "https://your-sap.com:8000",
        "SAP_USERNAME": "user",
        "SAP_PASSWORD": "pass",
        "SAP_CLIENT": "100"
      }
    }
  }
}

Usage

In Cline or Claude Code, with MIGRATION_GUIDE.md loaded as system prompt:

Migrate the module pool program SAPMZ_DEMO to RAP. 
Use package ZMIGRATED and prefix ZR_.

The agent will:

  1. Analyze the program → show you what it found → ask permission

  2. Generate all RAP objects → show code preview → ask permission

  3. Create a transport → write each object one-by-one → checkpoint each

  4. Activate all → show results → checkpoint

You control every step.

Extending

Add new tools in src/tools/ and register them in src/index.ts.

Ideas:

  • generate_odata_service — expose the RAP BO as an OData V4 service

  • run_atc_check — run ABAP Test Cockpit on generated objects

  • compare_behavior — run both old + new, compare DB results

mcp-rap-migrator

Available Tools

7 tools
analyze_module_poolA

STEP 1 — Analyzes Module Pool source code fetched by mcp-abap-adt. IMPORTANT: First use mcp-abap-adt GetProgram to get program source, then GetInclude for each include, then pass combined source here. Returns structured JSON: screens, PAI/PBO modules, tables, LLM business analysis, PAI-to-RAP mapping.

Inputs: source_code (required), program_name (required).

check_released_cdsA

STEP 1b — MANDATORY before generate_rap_skeleton. Checks if SAP has released CDS views for the tables found in the Module Pool. Clean Core: always SELECT from released CDS instead of raw tables. Returns cds_source_mapping to pass into generate_rap_skeleton.

Inputs: tables (required).

create_transportA

Creates a Workbench Transport Request in SAP. Do this before write_abap_object. Returns transport number.

Inputs: description (required), target_system.

generate_rap_skeletonA

STEP 2 — Given the analysis JSON from step 1, generates the full RAP migration plan: CDS view, Behavior Definition, Behavior Implementation class, metadata extensions. Returns ABAP code as strings — does NOT write to SAP yet. Human must approve.

Inputs: prefix (required), analysis_json (required), target_package (required).

human_checkpointA

MANDATORY between every step — shows the human: WHAT WAS DONE, ANALYSIS SUMMARY, and NEXT PROPOSED ACTION. Human must type YES/MODIFY/ABORT to proceed. Always call this before write_abap_object or validate_and_activate.

Inputs: step_title (required), what_i_got (required), my_analysis (required), next_action (required), +1 more.

validate_and_activateA

STEP 4 — Activates one or more ABAP objects via ADT REST. Runs syntax check first, returns errors for agent to fix before activation. Call human_checkpoint with results.

Inputs: objects (required).

write_abap_objectA

STEP 3 — Writes a single ABAP object to SAP via ADT REST. CRITICAL: Always follow this exact order: 1st=CDS Root View (DDLS), 2nd=CDS Child Views (DDLS), 3rd=Behavior Definition (BDEF), 4th=Implementation Class (CLAS), 5th=Metadata Extension (DDLS). NEVER write BDEF before CDS views. NEVER write CLAS before BDEF. One object at a time only.

Inputs: package (required), transport (required), object_name (required), object_type (required), +1 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.2/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct step in the migration workflow: analysis, CDS checking, transport creation, skeleton generation, human checkpoint, writing objects, and validation. No overlap or ambiguity.

    Naming Consistency4/5

    Most tool names follow a verb_noun pattern (analyze_module_pool, check_released_cds, create_transport, generate_rap_skeleton, write_abap_object). However, 'human_checkpoint' is noun_noun and 'validate_and_activate' uses two verbs, breaking the pattern slightly.

    Tool Count5/5

    7 tools cover the entire migration pipeline without being excessive. Each tool serves a necessary function, and the count is appropriate for the domain's complexity.

    Completeness5/5

    The tool set covers all essential steps from analysis through activation, including mandatory checkpoints. No obvious gaps for a migration workflow.

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