GNURadio MCP Server is an extensible protocol server enabling programmatic control and automation of GNURadio flowgraphs, including AI-driven generation and modification, reducing manual errors and accelerating SDR workflows.
Added on:
Created by:
Apr 28 2025
GNURadio MCP Server is an extensible protocol server enabling programmatic control and automation of GNURadio flowgraphs, including AI-driven generation and modification, reducing manual errors and accelerating SDR workflows.
Added on:
Created by:
Apr 28 2025
Julius
Featured
What is GNURadio MCP Server?
The GNURadio MCP Server is a scalable, modular platform designed to facilitate the automation and management of GNU Radio flowgraphs. It exposes a comprehensive MCP API, allowing users to build, edit, and validate flowgraphs through code. Its architecture seamlessly integrates with Large Language Models and automation frameworks, making it suitable for AI-driven SDR prototyping, testing, and deployment. The server supports programmatic flowgraph creation, saves time in design iteration, and minimizes manual errors. Compatible with GNURadio versions above 3.13, it is ideal for developers, researchers, and automation engineers working on software-defined radio projects, enabling efficient, large-scale SDR workflows.
Who will use GNURadio MCP Server?
- Software-defined radio developers
- Automation engineers
- Research and academia
- AI integration specialists
How to use the GNURadio MCP Server?
- Step 1: Clone the repository from GitHub.
- Step 2: Install GNURadio (version 3.13 or above) and set up a Python environment.
- Step 3: Install dependencies using pip and activate the environment.
- Step 4: Configure the MCP server and integrate it into your workflow or automation scripts.
- Step 5: Use the MCP API to build, modify, or validate GNURadio flowgraphs programmatically.
- Step 6: Run the server and manage flowgraphs remotely or via automation frameworks.
GNURadio MCP Server's Core Features & Benefits
The Core Features
- MCP API for GNURadio
- Programmatic flowgraph creation and modification
- AI and automation integration
- Extensible modular architecture
- Example `.grc` flowgraphs
- Comprehensive testing with pytest
The Benefits
- Automates SDR workflows
- Reduces manual errors
- Speeds up flowgraph prototyping
- Supports AI-driven design
- Easy to extend and customize
GNURadio MCP Server's Main Use Cases & Applications
- Automated generation of GNURadio flowgraphs for research
- Integration with AI agents for SDR control
- Automated testing and validation of SDR prototypes
- Large-scale SDR workflow management in industry or academia
FAQs of GNURadio MCP Server
Developer
- yoelbassin
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