Tubask

Tubask

Youtube, readable in AI chats.

Category
访问服务器

README

<p align="center"> <img src="assets/logo.svg" alt="Tubask" width="64" height="64" /> </p>

<h1 align="center">Tubask</h1>

<p align="center"> <strong>YouTube, readable in chat.</strong><br /> Hosted MCP server for Claude, Cursor, ChatGPT, and any Streamable HTTP client. </p>

<p align="center"> <a href="https://tubask.app"><img src="https://img.shields.io/badge/website-tubask.app-111110?style=flat-square" alt="Website" /></a> <a href="https://tubask.app/mcp"><img src="https://img.shields.io/badge/MCP-Streamable%20HTTP-111110?style=flat-square" alt="MCP transport" /></a> <a href="https://tubask.app/docs"><img src="https://img.shields.io/badge/docs-quick%20start-111110?style=flat-square" alt="Docs" /></a> <img src="https://img.shields.io/badge/tools-3-111110?style=flat-square" alt="3 tools" /> <img src="https://img.shields.io/badge/auth-OAuth%202.0-111110?style=flat-square" alt="OAuth 2.0" /> </p>

<p align="center"> <a href="https://tubask.app/signup"><strong>Try free →</strong></a>  ·  <a href="#quick-start">Install</a>  ·  <a href="#tools">Tools</a>  ·  <a href="https://tubask.app/docs/examples">Example prompts</a> </p>


Tubask is a hosted remote MCP server that lets your AI assistant search YouTube, summarize videos, and pull timestamped quotes — from inside Claude or Cursor, in one message. No local Python. No 15-tool chains. Three tools, smart routing, OAuth, and a hosted trial (25 searches + 3 summaries) — then upgrade to Pro (no Google key) or stay on Free with your own key.

Without Tubask With Tubask
Paste a link → “I can't access YouTube” Paste a link → summary, chapters, quotes
Open 5 tabs to research a topic Ranked results in chat
Chain search → transcript → summarize One summarize_video or goal=advice call

MCP endpoint

https://tubask.app/mcp

Transport: Streamable HTTP · Auth: OAuth 2.0 (browser signup on first tool call) · Read-only tools

Quick start

npx @tubask/mcp

Interactive setup: pick your client, write config, optionally install the Cursor skill.
No args needed.

npx @tubask/mcp init              # non-interactive config write
npx @tubask/mcp skill install     # Cursor routing skill
npx @tubask/mcp status            # check existing setup

Then Settings → Tools & MCP → Connect in Cursor and complete OAuth on first use.

  1. Create a free account at tubask.app/signup (no credit card).
  2. Add the MCP server to your client (npx above, or snippets below).
  3. Send any YouTube URL in chat — e.g. “Summarize this talk and list the main argument.”
  4. On first use, complete OAuth in your browser.
  5. (Optional) Add your free YouTube Data API key in the Tubask dashboard after the hosted trial.

npx CLI

Command What it does
npx @tubask/mcp Interactive onboarding (recommended)
npx @tubask/mcp init Write .cursor/mcp.json in the current project
npx @tubask/mcp init --global Write ~/.cursor/mcp.json for all projects
npx @tubask/mcp init --client claude-code Write .mcp.json + print claude mcp add command
npx @tubask/mcp skill install Copy tubask-youtube skill to .cursor/skills/
npx @tubask/mcp status Check if Tubask is already configured
npx @tubask/mcp init --dry-run Preview config without writing files

The server runs at https://tubask.app/mcp — the CLI only writes client config.

Cursor

Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "tubask": {
      "url": "https://tubask.app/mcp"
    }
  }
}

Then Settings → Tools & MCP → Connect and authorize.

Claude Code

claude mcp add --transport http tubask https://tubask.app/mcp

Or add to .mcp.json:

{
  "mcpServers": {
    "tubask": {
      "type": "http",
      "url": "https://tubask.app/mcp"
    }
  }
}

Claude Desktop / Claude.ai

Settings → Connectors → Add custom connector → paste:

https://tubask.app/mcp

ChatGPT

Settings → Apps & Connectors → Create app → paste the same URL.

Smithery

smithery mcp add https://tubask.app/mcp

No extra config — OAuth and API keys are handled in your Tubask account after connect.

Other clients

Any MCP host with remote HTTP support: paste https://tubask.app/mcp and sign in on first tool call.
Client-specific notes: tubask.app/docs/connect

Tools

Tool Use when
youtube_query Paste anything — URL, @handle, playlist, search text. Search, latest uploads, comments, creator advice across videos.
summarize_video Understand one video — summary, key_points, chapters, quotes with timestamps.
get_transcript Exact words — keyword search, time slices, pagination.

Every response includes next_steps[] so the model doesn't guess the next tool.

Example prompts

Summarize this and give me 3 quotable lines with timestamps:
https://youtube.com/watch?v=...

What's @Fireship published about AI agents in the last month? Skip shorts.

Find every time they say "product-market fit" and give timestamps:
https://youtu.be/VIDEO_ID

More: tubask.app/docs/examples

Why three tools?

Most YouTube MCP servers expose 10–20 granular tools. Models chain search → get_video → get_transcript → summarize, burning tokens, latency, and YouTube API quota.

Tubask collapses the surface:

Paste anything     → youtube_query (intent=auto)
One video          → summarize_video
Exact words        → get_transcript

Creator advice across multiple videos → youtube_query(goal=advice) in one call (up to 8 recent long-form uploads).

Pricing

Plan Price Includes
Trial Free 25 searches + 3 summaries · hosted · no API key
Free $0 100 credits/mo (~12 summaries or ~100 searches) · your Google API key
Pro $8/mo 800 credits/mo (~100 summaries) · hosted · 3 MCP clients
Plus $19/mo 2,500 credits/mo (~312 summaries) · hosted · unlimited clients

Credits: 1 search = 1 credit · 1 summary/transcript = 8 credits · metadata-only summary = 1 credit · advice = 1 + 8×transcript-covered videos. Hard stop at zero.

Details: tubask.app/docs/quota

Security

  • OAuth 2.0 for every MCP connection
  • Your YouTube API key encrypted at rest (Fernet)
  • Argon2id password hashing
  • Read-only tools — no writes to your YouTube account

tubask.app/docs/security · SECURITY.md

Comparison

Tubask Local uvx YouTube MCPs
Install Paste URL Python/uv, local deps
Summaries Built-in (chapters, quotes) Often transcript-only
Channel / search / advice youtube_query Varies; often many tools
Auth OAuth + dashboard Usually none
API key Your key in Tubask dashboard Optional / none

Discovery metadata

MCP scanners that cannot authenticate may read server-card.json or the live endpoint at tubask.app/.well-known/mcp/server-card.json.

Support

License

This repository contains documentation and discovery metadata for the Tubask hosted service. The Tubask service software is proprietary. See LICENSE.


<p align="center"> <sub>v0.6.4 · Model Context Protocol · Made for Claude, Cursor, and builders who live in chat.</sub> </p>

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