# GR-MCP

> Use this tool when you need to create and manage GNU Radio flowgraphs using natural language inputs, solving problems of complex signal processing setup and configuration. It takes in natural language commands and outputs validated flowgraphs with functional signal processing code, making it ideal for streamlining SDR hardware configuration and block library management. It is particularly useful when working with GNU Radio projects that require efficient and accurate flowgraph creation and management.

Canonical page: https://skillsregistry.net/skills/dollarhyde-gr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dollarhyde-gr-mcp

## Description

An MCP server that enables natural language-driven creation and management of GNU Radio flowgraphs with validated block connections and parameter configurations. It provides tools for searching the GNU Radio block library, detecting SDR hardware, and generating functional signal processing code.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yij3wyw2uj)
- **Repository:** <https://github.com/Dollarhyde/gr-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dollarhyde-gr-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dollarhyde-gr-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dollarhyde-gr-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
