# local-tts

> Use this tool when you need to enable offline text-to-speech functionality for AI assistants, allowing them to speak task summaries instantly without requiring network calls. It solves the problem of delayed or failed speech responses due to internet connectivity issues, providing a seamless user experience. The local-tts tool takes text inputs and produces spoken audio outputs via native OS speech engines.

Canonical page: https://skillsregistry.net/skills/davotank-tts-mcp  
JSON: https://api.skillsregistry.net/v1/skills/davotank-tts-mcp

## Description

A lightweight MCP server that provides offline text-to-speech via native OS speech engines. It allows AI assistants to speak task summaries instantly with no network calls.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x8nuk352vv)
- **Repository:** <https://github.com/davotank/tts-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": "davotank-tts-mcp"
    }
  }
}
```

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