Parallels RAS MCP Server
by kamalsrini17
This MCP server provides a REST API backend to interact with Parallels Remote Application Server (RAS) for session management and app publishing. It offers a simple client library for easy integration.
Last updated: N/A
What is Parallels RAS MCP Server?
This is a Python-based MCP server that acts as a REST API backend for managing sessions and publishing applications on a Parallels Remote Application Server (RAS).
How to use Parallels RAS MCP Server?
To use this server, clone the repository, install the dependencies using pip install -r requirements.txt, configure the environment variables in the .env file with your RAS API URL, username, and password, and then run the server using bash run.sh. A client library is provided for interacting with the server's API.
Key features of Parallels RAS MCP Server
List current sessions via the RAS REST API
Publish remote applications
Simple client library for integrating with the MCP server
FastAPI-based backend
Use cases of Parallels RAS MCP Server
Automating session management in Parallels RAS
Programmatically publishing applications to Parallels RAS
Integrating Parallels RAS with other systems via a REST API
Building custom dashboards for monitoring RAS sessions
FAQ from Parallels RAS MCP Server
What is the purpose of this server?
What is the purpose of this server?
It provides a REST API to manage sessions and publish applications on a Parallels RAS.
What are the dependencies?
What are the dependencies?
The dependencies are listed in the requirements.txt file and can be installed using pip.
How do I configure the server?
How do I configure the server?
Configure the server by setting the environment variables in the .env file.
How do I run the server?
How do I run the server?
Run the server using the bash run.sh command.
Is there a client library available?
Is there a client library available?
Yes, a simple client library is provided for interacting with the server's API.