# Yak MCP

> Use this tool when you need to create interactive and engaging AI experiences that require spoken communication. Yak MCP enables coding agents to speak aloud using text-to-speech functionality, solving the problem of silent AI interactions and providing configurable voice settings for personalized output. It is particularly useful in devcontainer environments where agents need to communicate verbally with users.

Canonical page: https://skillsregistry.net/skills/thamaji-yak-mcp  
JSON: https://api.skillsregistry.net/v1/skills/thamaji-yak-mcp

## Description

Enables coding agents to speak aloud using text-to-speech functionality. Works with agents running inside devcontainers and provides configurable voice settings for creating chatty AI companions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cfxg8vj5xw)
- **Repository:** <https://github.com/thamaji/yak-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": "thamaji-yak-mcp"
    }
  }
}
```

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