Parallels Ras MCP Server

🚀 Parallels RAS MCP Server (Python)

This MCP server provides a REST API-based backend service for interacting with Parallels Remote Application Server (RAS), enabling session management and application publishing.

✨ Features

• List current sessions via the RAS REST API.
• Publish remote applications.
• Simple client library for integration with the MCP server.
• Backend based on FastAPI.

📦 Installation

1. Clone the repository:

git clone https://github.com/kamalsrini17/parallels-ras-mcp-server.git
cd parallels-ras-mcp-server

2. Install the dependencies:

pip install -r requirements.txt

3. Set the environment variables in .env:

RAS_API_URL=https://your-ras-server/ras/api
RAS_USERNAME=your-username
RAS_PASSWORD=your-password

4. Run the server:

bash run.sh

💻 Usage Examples

Basic Usage

from client_library.ras_mcp_client import RASMCPClient

client = RASMCPClient("http://localhost:8000")
print(client.get_sessions())

response = client.publish_application(
    app_name="Notepad",
    target_path="C:\\Windows\\System32\\notepad.exe"
)
print(response)

🚀 Submission to MCP

Submit your MCP server at https://mcp.so/submit

📄 License

This project is licensed under the MIT License.