mcp-youtube — security grade SAFE, quality 47/100

Security audit verdict: SAFE · quality 47/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by anaisbetts · MCP Server · ★ 541

Last updated: 2026-08-16 · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is mcp-youtube safe to install? View the security audit →

About mcp-youtube

YouTube MCP Server Uses to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol. Try it by asking Claude, "Summarize the YouTube video ". Requires to be installed locally e.g. via Homebrew. How do I get this working? Install (Homebrew and WinGet both work great here) Now, install this via mcp-installer, use the name

Quick Facts

Stars	541
Forks	66
Language	TypeScript
Category	MCP Server
License	MIT
Quality Score	47.3513201770351/100
Open Issues	8
Last Updated	2026-08-16
Created	2024-11-19
Platforms	mcp, node
Est. Tokens	~9k

Compatible Skills

These tools work well together with mcp-youtube for enhanced workflows:

youtube-skills — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
obsidian-mcp — semantic(0.53)+same_lang+similar_pop+shared_platform (48%)
investor-agent — semantic(0.47)+complementary+similar_pop (47%)

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Frequently Asked Questions

What is mcp-youtube?

mcp-youtube is A Model-Context Protocol Server for YouTube. It is categorized as a MCP Server with 541 GitHub stars.

What programming language is mcp-youtube written in?

mcp-youtube is primarily written in TypeScript.

How do I install or use mcp-youtube?

You can find installation instructions and usage details in the mcp-youtube GitHub repository at github.com/anaisbetts/mcp-youtube. The project has 541 stars and 66 forks, indicating an active community.

What license does mcp-youtube use?

mcp-youtube is released under the MIT license, making it free to use and modify according to the license terms.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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