samson-art/transcriptor-mcp
Overview
Transcriptor MCP is an MCP tool that generates transcripts and metadata for AI, summarization, and content analysis, supporting multiple platforms with features like subtitles, video metadata, Docker deployment, and optional Redis caching.
Capabilities
- • stdio transport support
- • network transport options
- • authentication support
- • github integration
- • mcp client integration
- • workflow automation support
Best For
MCP tool for generating transcripts and metadata from platforms like YouTube, Reddit, and TikTok, with Docker support and Redis caching.
Decision Snapshot
Install
available
Usage
available
Docs
8 links
Config
3 strong hints
Capabilities
6 key capabilities detected
- • GitHub stars: 6
- • Forks: 2
- • Source provenance count: 1
- • Last seen: 4/15/2026
Installation / Setup
npm install && npm run build && npm run start:mcp
Example Config
This is an MCP Find-authored example config generated from strong evidence.
Final parameters should follow the tool's official setup documentation.
{
"mcpServers": {
"transcriptor-mcp": {
"command": "docker"
}
}
}Usage
{ && "mcpServers": { && "transcriptor": { && "command": "docker",Features
- • **Multi-platform** — YouTube, Reddit, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion.
- • **Connect by URL (Smithery, Glama)** — use the server without installing Docker or Node; Smithery, Glama.
- • **Transcripts + raw subtitles**: cleaned text or raw SRT/VTT.
- • **Language support**: official subtitles with auto-generated fallback.
- • **Video metadata**: extended info (title, channel, tags, thumbnails, etc.) and chapter markers.
- • **Pagination**: safe for large transcripts.
- • **Optional Redis cache**: cache subtitles and metadata to reduce yt-dlp calls; configurable (see Caching).
- • **Docker-first**: ready for local + remote deployment.
Use Cases
- • Supports capabilities such as: stdio transport support; network transport options; authentication support.
- • Common usage themes: mcp, curated, markdown-list, awesome-mcp-servers-punkpeye.
Supported Clients / Integrations
- • stdio transport support
- • network transport options
- • authentication support
- • github integration
- • mcp client integration
- • workflow automation support
Compatibility Signals
- • Claude Desktop: mentions (Mentioned in approved metadata/docs evidence.)
- • Cursor: mentions (Mentioned in approved metadata/docs evidence.)
- • GitHub: supports (Detected in parser config/capability hints.)
Prompt Examples
example
• { && "mcpServers": { && "transcriptor": { && "command": "docker",
Notes / Requirements
- • Primary language: TypeScript/JavaScript
- • License: MIT
- • Documentation coverage: high
- • Parser coverage score: 1.00
- • Source feeds: Awesome MCP Servers (punkpeye)
- • Topic cluster: general
Official Links
Source Information
You can verify all information on this page against the source repository above.
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What To Do Next
Continue from this tool into a workflow and a learn guide to shorten implementation time.