# MCP-Transcribe

> Use this tool when you need to transcribe audio or video files into text, enabling large language models (LLMs) to interact with the content. It solves the problem of extracting usable text from multimedia files, allowing for further analysis or processing. The tool takes audio/video files or voice memos as input and produces transcribed text as output.

Canonical page: https://skillsregistry.net/skills/transcribe-app-mcp-transcribe  
JSON: https://api.skillsregistry.net/v1/skills/transcribe-app-mcp-transcribe

## Description

This service provides fast and reliable transcriptions for audio/video files and voice memos. It allows LLMs to interact with the text content of audio/video file.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hx222ggddp)
- **Repository:** <https://github.com/transcribe-app/mcp-transcribe>

## 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": "transcribe-app-mcp-transcribe"
    }
  }
}
```

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