技能潮 SkillTide 提交收录
官方说明10 个来源MCP 服务8 天前
kimtaeyoon83/mcp-server-youtube-transcript

kimtaeyoon83/mcp-server-youtube-transcript

📇 ☁️ - Fetch YouTube subtitles and transcripts for AI analysis
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add mcp-server-youtube-transcript -- npx -y mcp-server-youtube-transcript
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
603 ★ · kimtaeyoon83/mcp-server-youtube-transcript · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 10 个来源列出
评分构成
综合分 1,003 · 603 ★ · 10 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 kimtaeyoon83/mcp-server-youtube-transcript;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

YouTube Transcript Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface.
Installing via Smithery
To install YouTube Transcript Server for Claude Desktop automatically via Smithery:
Components
Tools
- **get_transcript**
- Extract transcripts from YouTube videos
- Inputs:
- url (string, required): YouTube video URL, Shorts URL, or video ID
- lang (string, optional, default: "en"): Language code for transcript (e.g., 'ko', 'en'). Automatically falls back to available languages if requested language is not found.
- include_timestamps (boolean, optional, default: false): Include timestamps in output (e.g., '[0:05] text')
- strip_ads (boolean, optional, default: true): Filter out sponsorships, ads, and promotional content from transcript based on chapter markers
- **analyze_video** (optional, requires a TwelveLabs API key)
- Analyze a video with TwelveLabs Pegasus, a video-understanding model. Unlike get_transcript, this reasons over what is *shown* on screen, so it produces useful summaries and answers even for videos with little or no speech (demos, gameplay, b-roll, music videos).
- Inputs:
- url (string, required): A publicly reachable **direct video URL** (e.g. an .mp4/.mov/.webm link or a pre-signed URL). TwelveLabs fetches the file server-side, so a YouTube watch page URL will not work — it serves HTML, not a raw video stream.
- prompt (string, optional): Instruction or question for the model (e.g. "Summarize this video in 3 sentences" or "What products are shown?"). Defaults to a general summary.
- model (string, optional, default: "pegasus1.2"): Pegasus model to use ("pegasus1.2" or "pegasus1.5").
- max_tokens (number, optional, default: 2048): Maximum response length in tokens.
- Requires the TWELVELABS_API_KEY environment variable. The transcript tool works without it; analysis is fully opt-in. Grab a free key at twelvelabs.io — there's a generous free tier.
Key Features
- Support for multiple video URL formats (including YouTube Shorts)
- Language-specific transcript retrieval with automatic fallback
- Optional timestamps for referencing specific moments
- Built-in ad/sponsorship filtering (enabled by default)
- Zero external dependencies for transcript fetching
- Detailed metadata in responses
Configuration
To use with Claude Desktop, add this server configuration:
To enable the optional analyze_video tool, add your TwelveLabs API key:
Install via tool
mcp-get A command-line tool for installing and managing Model Context Protocol (MCP) servers.
Awesome-mcp-servers
awesome-mcp-servers A curated list of awesome Model Context Protocol (MCP) servers.
Development
Prerequisites
- Node.js 18 or higher
- npm or yarn
Setup
Install dependencies:
Build the server:
For development with auto-rebuild:
Testing
来源
awesome · https://github.com/kimtaeyoon83/mcp-server-youtube-transcript
按领域浏览
MCP 服务
Traction
603 ★
收录于
昨天

更多MCP 服务

查看MCP 服务全部 5,525 条 →

所属领域与标签

每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。

浏览全部领域 →

← 返回索引