gr-mcp

gr-mcp

2
os_automation

The GNURadio MCP Server is a versatile Machine Control Protocol server for GNURadio, designed to automate and scale software-defined radio workflows. It supports integration with AI and automation tools, allowing for efficient, scriptable creation of radio flowgraphs.

GR-MCP: A gnuradio MCP Server

Python Version

GNURadio MCP Server is a modern, extensible Machine Control Protocol (MCP) server for GNURadio, enabling programmatic, automated, and AI-driven creation of GNURadio flowgraphs. Designed for seamless integration with Large Language Models (LLMs), automation frameworks, and custom clients, it empowers you to generate .grc files and control SDR workflows at scale.

Why GNURadio MCP Server?

  • Automate SDR workflows and flowgraph generation
  • Integrate with LLMs, bots, and custom tools
  • Build, modify, and validate flowgraphs programmatically
  • Save time and reduce manual errors in SDR prototyping

Features

  • 🌐 MCP API: Exposes a robust MCP interface for GNURadio
  • 🛠️ Programmatic Flowgraph Creation: Build, edit, and save .grc files from code or automation
  • 🤖 LLM & Automation Ready: Designed for AI and automation integration
  • 🧩 Extensible: Modular architecture for easy extension and customization
  • 📝 Example Flowgraphs: Includes ready-to-use .grc examples in the misc/ directory
  • 🧪 Tested: Comprehensive unit tests with pytest

Quickstart

Requirements

  • Python >= 3.13
  • GNURadio (Tested with GNURadio Companion v3.10.12.0)
  • UV

Usage

  1. Clone the repository
git clone https://github.com/yoelbassin/gr-mcp

  1. Install GNURadio

  2. Set up a UV environment

cd gr-mcp
uv venv --system-site-packages

The --system-site-packages flag is required because GNURadio installs the gnuradio Python package globally.

  1. Add the MCP server configuration to your client configuration. For example, for Claude Desktop or Cursor:
"mcpServers": {
    "gr-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/gr-mcp",
        "run",
        "main.py"
      ]
    }
  }

Development

Install development dependencies and run tests with:

pip install -e ".[dev]"
pytest

Project Status

In active development. Core server functionality is available, but the API and features are evolving. Your feedback and contributions are highly valued!