# jackai-stt-mcp

> jackai-stt-mcp — jack-ai-net-stt-mcp. Use this tool when you need to transcribe audio files securely and efficiently, without uploading sensitive data. It solves problems of speech-to-text conversion, speaker identification, and data privacy, by utilizing local OpenAI models and supporting speaker diarization. The tool takes audio file references as input and outputs transcribed text, making it ideal for applications requiring secure and accurate audio transcription.

Canonical page: https://skillsregistry.net/skills/jack-ai-net-stt-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jack-ai-net-stt-mcp

## Description

Transcribes audio files by referencing them in chat, using OpenAI's speech-to-text models locally without uploading audio, and supports speaker diarization.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tnslrd8bpe)
- **Repository:** <https://github.com/jack-ai-net/stt-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": "jack-ai-net-stt-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jack-ai-net-stt-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jack-ai-net-stt-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