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.
Parallels RAS MCP Server (Python)
@kamalsrini17
Basic information
About Parallels RAS MCP Server
MCP server for Parallels RAS using FastAPI
Parallels RAS MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryParallels RAS MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Parallels RAS MCP Server (Python)?
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.
How to use Parallels RAS MCP Server (Python)?
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().
Key features of Parallels RAS MCP Server (Python)
- Lists current sessions via the RAS REST API
- Publishes remote applications
- FastAPI-based backend for easy scaling
- Simple client library for integration
Use cases of Parallels RAS MCP Server (Python)
- Monitor active user sessions on a Parallels RAS deployment
- Automate publishing of remote applications (e.g., Notepad)
- Build custom management tools on top of RAS session data
Frequently asked questions
How do I authenticate with the RAS API?
Set the `RAS_USERNAME`, `RAS_PASSWORD`, and `RAS_API_URL` environment variables in a `.env` file before starting the server.
How do I start the server?
After setting up the environment, run `bash run.sh` from the project root.
What does the client library do?
It provides a `RASMCPClient` class that connects to the MCP server at `http://localhost:8000` and exposes methods like `get_sessions()` and `publish_application()`.
Can I submit this server to the MCP registry?
Yes, the README directs you to submit at [https://mcp.so/submit](https://mcp.so/submit).
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