What are the requirements to run MCP SAP GUI Server?
Python 3.8+, SAP GUI installed and configured, valid SAP credentials (system, client, user, password), and Node.js (for npx).
@mario-andreschak
基本情報
MCP server that allows simple SAP GUI interaction for LLM models using simulated mouse clicks and keyboard input.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-sap-gui": {
"command": "python",
"args": [
"-m",
"sap_gui_server.server"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
MCP SAP GUI Server is a Model Context Protocol (MCP) server that automates SAP GUI interactions. It provides tools to programmatically launch SAP transactions, click, type, scroll, and capture screenshots. Designed for developers and automation engineers who need to integrate SAP GUI with AI assistants or custom scripts.
Install via setup.bat or build.bat, configure SAP credentials in .env, and optionally integrate with Cline or Roo using integrate.bat. Invoke the server via Python (python -m sap_gui_server.server) and use tools like launch_transaction, sap_click, sap_type, etc., with optional screenshot return formats.
Python 3.8+, SAP GUI installed and configured, valid SAP credentials (system, client, user, password), and Node.js (for npx).
Clone the repository, run `setup.bat`, copy `.env.example` to `.env`, and update with your SAP credentials. Optionally use `integrate.bat cline` or `integrate.bat roo` to automatically configure MCP settings.
`none` (default), `as_file` (saves to disk), `as_base64` (returns raw base64 string), `as_imagecontent` (returns MCP ImageContent object), and `as_imageurl` (returns embedded resource with data URL). For `as_file` you must specify a target folder via `as_file_target_folder`.
It communicates with SAP GUI installed locally (not over the network). Authentication is handled via standard SAP credentials stored in the `.env` file. The MCP transport is local stdio.
All interactions are based on pixel coordinates (x/y) derived from screenshot analysis. The server has no direct access to screen element metadata. Coordinates must be exact; approximate clicking will fail. Screenshots are returned after each action.

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