# Speech MCP

> Use this tool when you need to interact with Goose using voice commands, enabling hands-free communication and modern audio visualization. It solves the problem of tedious text-based input, providing an intuitive voice interface for users. Ideal for applications where speech interaction is preferred, such as voice-controlled assistants or accessible interfaces.

Canonical page: https://skillsregistry.net/skills/kvadratni-speech-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kvadratni-speech-mcp

## Description

A Goose MCP extension providing voice interaction with modern audio visualization, allowing users to communicate with Goose through speech rather than text.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yzai8tyjnf)
- **Repository:** <https://github.com/Kvadratni/speech-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": "kvadratni-speech-mcp"
    }
  }
}
```

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