MCP Servers

Magic-MCP

Enables generation of magic squares by exposing a single tool that connects to a remote MATLAB service. Users can specify the desired square size and receive structured magic square data with metadata.

README

Magic-MCP

Magic square function exposed as MCP server 🪄✨

claude

Getting started

Create a virtual environment and install the dependencies:

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Run the MCP server:
```
python server.py
```
The server exposes a single tool, generate_magic_square, which proxies a remote MATLAB service hosted at https://matlab-0j1h.onrender.com/mymagic/mymagic.
Dependencies

This project now uses requests and numpy to call and parse the remote MATLAB service. Ensure those packages are installed (they're included in requirements.txt). To change the target MATLAB service URL, edit the MATLAB_SERVICE_URL variable inside the calculate_magic_matrix tool in server.py.
Connect an MCP-compatible client to the server (for example, via MCP discovery or by pointing the client at the stdio endpoint) and invoke the generate_magic_square tool. Provide the desired square size (and optionally set debug=true) to receive a structured response containing both the magic square and the raw metadata returned by the upstream service.

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