whipscribe-mcp

whipscribe-mcp

MCP server for Whipscribe — transcribe audio and video from a URL or local file via Claude Desktop, Claude Code, Cursor, Windsurf, or any MCP-compatible client.

Category
访问服务器

README

whipscribe-mcp

MCP server for Whipscribe — transcribe audio and video from a URL or local file via Claude Desktop, Claude Code, Cursor, Windsurf, or any MCP-compatible client.

⚠️ Beta service

  • whipscribe-mcp and the Whipscribe API are in beta. Endpoints, response shapes, and quotas may change without notice.
  • Jobs can fail, stall, or return partial output. Retry logic is your responsibility.
  • Beta credits can be invalidated without notice — e.g. for infrastructure migration, key compromise, or pricing reset. Beta credits do not convert to cash.
  • We will give 7 days' written notice before any pricing change that affects active keys, and honor unused credits at the old rate for 7 days after the notice.
  • Not suitable for production use cases where transcription failure has legal, safety, or financial consequences.
  • By installing and using this package, you accept the full terms at whipscribe.com/terms.

Install

uvx whipscribe-mcp

Alternatives:

pipx install whipscribe-mcp
pip install whipscribe-mcp

Requires Python 3.10+.

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "whipscribe": {
      "command": "uvx",
      "args": ["whipscribe-mcp"]
    }
  }
}

Optional: set WHIPSCRIBE_API_KEY in env to unlock paid quota.

{
  "mcpServers": {
    "whipscribe": {
      "command": "uvx",
      "args": ["whipscribe-mcp"],
      "env": {
        "WHIPSCRIBE_API_KEY": "your-key"
      }
    }
  }
}

Restart Claude Desktop. Type "transcribe this podcast URL: …" and Claude will call the tool.

Tools

Tool Description
transcribe_url(url, language?, diarize?, word_timestamps?) Transcribe audio/video from any URL (YouTube, podcast feeds, direct file links).
transcribe_file(path, language?, diarize?, word_timestamps?) Transcribe a local audio/video file.
get_job_status(job_id) Check progress of a running job.
get_transcript(job_id, format) Fetch the transcript in txt, json, srt, vtt, or docx.
list_recent_jobs(limit?) Browse your recent jobs (local cache).

All tools return a JSON object of the shape:

{
  "ok": true,
  "job_id": "...",
  "status": "done",
  "transcript_preview": "first 300 chars...",
  "url_to_full": "https://whipscribe.com/view?id=...",
  "duration_sec": 967.3,
  "beta_notice": "..."
}

On failure:

{
  "ok": false,
  "error": {
    "code": "upload_failed",
    "message": "human-readable explanation",
    "retryable": true
  }
}

Environment variables

Variable Required Default Purpose
WHIPSCRIBE_API_KEY No API key (unlocks paid quota; anonymous free tier works without it)
WHIPSCRIBE_API_BASE No https://whipscribe.com/api/v1 Override API base URL (e.g. for staging)
WHIPSCRIBE_MCP_TELEMETRY No 1 Set to 0 to disable anonymous usage telemetry
WHIPSCRIBE_MCP_POLL_TIMEOUT_SECONDS No 600 Max seconds transcribe_url / transcribe_file waits before returning the job_id with a non-terminal status
WHIPSCRIBE_MCP_POLL_INTERVAL_SECONDS No 3 Seconds between job-status polls during transcription

Privacy

Opt-in anonymous telemetry (on by default; disable with WHIPSCRIBE_MCP_TELEMETRY=0):

What we collect (metadata only):

  • Anonymous install hash: sha256(machine_id + salt)[:16]
  • Package version, OS, Python version
  • Tool name, duration in milliseconds, error code

What we never collect:

  • URLs you transcribe
  • Local file paths
  • API keys
  • Transcript text
  • Email or any personally identifying information

The anonymization algorithm is in this repo (src/whipscribe_mcp/telemetry.py). Inspect it. If it's not acceptable, turn it off.

Pricing

See whipscribe.com/pricing for current rates. The free tier works without an API key at reduced rate limits.

License

Apache License 2.0. Copyright 2026 Neugence Technology Pvt. Ltd.

Contact

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选