What are the prerequisites to run this server?
Python 3 and the dependencies in `requirements.txt`. You also need access to a Parallels RAS REST API endpoint.
@kamalsrini17
基本情報
MCP server for Parallels RAS using FastAPI
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。
This MCP server provides a REST API backend to interact with Parallels Remote Application Server (RAS) for session management and app publishing. It is built with FastAPI and includes a client library for integration.
Clone the repository, install dependencies via pip install -r requirements.txt, set RAS_API_URL, RAS_USERNAME, and RAS_PASSWORD in a .env file, then run the server using bash run.sh. Use the provided RASMCPClient in Python to call endpoints like get_sessions() and publish_application().
Python 3 and the dependencies in `requirements.txt`. You also need access to a Parallels RAS REST API endpoint.
Set the `RAS_USERNAME`, `RAS_PASSWORD`, and `RAS_API_URL` environment variables in a `.env` file before starting the server.
After setting up the environment, run `bash run.sh` from the project root.
It provides a `RASMCPClient` class that connects to the MCP server at `http://localhost:8000` and exposes methods like `get_sessions()` and `publish_application()`.
Yes, the README directs you to submit at [https://mcp.so/submit](https://mcp.so/submit).

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