# @scriptivox/mcp-server

> @scriptivox/mcp-server — sparkleofficial-scriptivox-mcp-server. Use this tool when you need to transcribe audio and video files with high accuracy, or when you require advanced features like speaker diarization and word-level timestamps. It solves problems related to multimedia transcription, captioning, and content analysis, accepting URLs or local files as input and producing SRT, WebVTT, or plain text outputs. Ideal for use cases involving multilingual transcription, media analysis, or accessibility enhancements, supporting 119 languages.

Canonical page: https://skillsregistry.net/skills/sparkleofficial-scriptivox-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sparkleofficial-scriptivox-mcp-server

## Description

Enables AI assistants to transcribe audio and video from URLs or local files with high accuracy, speaker diarization, 119 languages, and word-level timestamps, while also supporting transcription management and caption export in SRT, WebVTT, or plain text.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a6p0uskvvl)
- **Repository:** <https://github.com/SparkleOfficial/scriptivox-mcp-server>

## 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": "sparkleofficial-scriptivox-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sparkleofficial-scriptivox-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sparkleofficial-scriptivox-mcp-server/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