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Gr

Safety: 45/100

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GR-MCP enables programmatic GNURadio flowgraph creation via an MCP interface, facilitating automation and integration with LLMs for SDR workflows.

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Overview

GR-MCP enables programmatic GNURadio flowgraph creation via an MCP interface, facilitating automation and integration with LLMs for SDR workflows.

GR-MCP offers powerful automation capabilities for GNURadio but requires careful management of flowgraph design and execution. It is safe when used in controlled environments with validated flowgraphs. Risks increase when integrating external data sources or executing untrusted flowgraphs.

Performance depends heavily on the complexity of the GNURadio flowgraphs. Complex flowgraphs may require significant processing power. Consider optimizing flowgraphs for real-time performance.

GR-MCP itself is open-source, but running complex flowgraphs may incur costs related to hardware resources (CPU, memory, SDR hardware).

Python30 starsGPL-3.0

Connections & Capabilities

Connects To

GitHub

Capabilities

ReadWriteExec

Client Compatibility

Claude Desktop

full

Cursor

full

Windsurf

untested

VS Code (Copilot)

full

Quickstart

Install

pip install -e ".[dev]"

Tools (4)

moderate

create_flowgraph

Creates a new GNURadio flowgraph (.grc) file.

Creates new files, potentially overwriting existing ones if not handled carefully.

high

modify_flowgraph

Modifies an existing GNURadio flowgraph (.grc) file.

Alters existing flowgraphs, potentially introducing errors or malicious code.

moderate

save_flowgraph

Saves a GNURadio flowgraph (.grc) file.

Saves changes to a flowgraph, potentially overwriting previous versions.

high

execute_flowgraph

Executes a GNURadio flowgraph.

Executes arbitrary GNURadio flowgraphs, which can have system-level effects.

Security

Auth Method

None

Known Risks

!Lack of authentication allows any client with access to the server to control GNURadio.
!Unvalidated flowgraph modifications can lead to unexpected or malicious behavior.
!Potential for resource exhaustion if flowgraphs are not designed efficiently.
!Vulnerabilities in GNURadio itself could be exploited through crafted flowgraphs.
!Absence of input sanitization in flowgraph parameters could lead to code injection.

Safety Score

moderate risk

Positive

+Requires local execution, reducing external exposure.
+Programmatic flowgraph creation can be validated before execution.
+No inherent internet connectivity unless flowgraphs are designed to use it.
+Uses a UV virtual environment for dependency management.

Risks

-Allows writing and modification of `.grc` files, potentially leading to unintended behavior.
-No built-in authentication or authorization mechanisms.
-Direct access to GNURadio functionality, which can have system-level implications.
-Lack of sandboxing could allow flowgraphs to access system resources.
-Vulnerable to flowgraph design flaws that could cause system instability.

Use Cases

SDR Automation

-Automated testing of SDR algorithms
-Dynamic configuration of SDR receivers and transmitters
-Remote control of SDR hardware

AI-Driven SDR

-LLM-assisted flowgraph generation
-Adaptive SDR based on AI models
-Automated optimization of SDR parameters

Educational Purposes

-Programmatic creation of GNURadio tutorials
-Automated flowgraph generation for demonstrations
-Remote access to GNURadio for students

Research and Development

-Rapid prototyping of SDR systems
-Automated experimentation with different flowgraph configurations
-Integration with simulation environments

Who Is This For?

Best For

SDR researchers
Wireless communication engineers
Educators teaching SDR concepts
Developers building automated SDR systems
AI/ML engineers integrating SDR with machine learning models

Not Ideal For

Environments requiring strict security controls without additional security measures.
Users unfamiliar with GNURadio and SDR concepts.
Real-time applications with stringent latency requirements without careful optimization.

Autonomy & Execution

Default ModeRead and Write enabled

Destructive Tools

GR-MCP provides full read and write access to GNURadio flowgraphs by default, requiring careful consideration of permissions and validation to prevent unintended consequences.

StatelessNo

Retry LogicNot documented

ConcurrencySingle-threaded

Production Tip

Implement robust error handling and input validation in flowgraphs to prevent unexpected behavior in production.

FAQ

Does GR-MCP require internet access?

No, GR-MCP itself does not require internet access, but flowgraphs may require it depending on their design.

How do I secure GR-MCP?

Implement network access controls, validate flowgraphs, and consider running GR-MCP in a sandboxed environment.

Can I use GR-MCP with other SDR frameworks?

GR-MCP is specifically designed for GNURadio, but you may be able to integrate it with other frameworks through custom flowgraphs.

What versions of GNURadio are supported?

GR-MCP has been tested with GNURadio Companion v3.10.12.0, but it may work with other versions.

How do I contribute to GR-MCP?

Fork the repository on GitHub and submit a pull request with your changes.

Is there authentication or authorization?

No, there is no built-in authentication or authorization. You must implement your own security measures.

Can I run GR-MCP on a remote server?

Yes, you can run GR-MCP on a remote server, but ensure proper network security measures are in place.

Key Features

MCP Server Integration - Enables secure, standardized communication between LLMs and GNU Radio environments.

Programmatic Flowgraph Generation - Allows for the dynamic creation of signal chains without manual GUI interaction.

LLM Workflow Compatibility - Facilitates direct control of SDR design parameters via natural language prompts.

SDR Automation - Streamlines repetitive radio frequency testing tasks through scriptable interfaces.

Standardized Tooling - Leverages the Model Context Protocol to ensure compatibility with modern AI development ecosystems.

Use Cases & Problems Solved

Use Cases

•Use when you need to programmatically generate complex GNU Radio flowgraphs for automated signal processing experiments.
•Perfect for integrating SDR (Software Defined Radio) design workflows directly into LLM-powered development agents.
•Ideal if you need to translate natural language requirements into functional radio signal processing chains.
•Great for researchers needing to rapidly iterate on signal modulation schemes by leveraging AI-assisted configuration.
•Use for automating the deployment of standard GNU Radio signal analysis pipelines across multiple hardware configurations.
•Perfect for streamlining the setup of laboratory test benches where SDR parameters need to be updated dynamically.

Problems Solved

✓Eliminates the manual, time-consuming process of building complex radio flowgraphs through the GNU Radio Companion GUI.
✓Reduces the barrier to entry for non-expert radio engineers by allowing LLMs to handle flowgraph boilerplate code.
✓Removes the friction of manually updating signal processing blocks when migrating between different SDR hardware platforms.
✓Solves the lack of programmatic interoperability between modern AI development environments and traditional SDR software.

Who It's For

SDR research engineers building automated signal analysis pipelinesPython developers building LLM-integrated radio frequency applicationsWireless communications researchers automating experiment designDevOps engineers managing remote software-defined radio deploymentsAI agents developers creating specialized tools for hardware configuration

Metrics

Discovered2/14/2026

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