youtube-mcp-server — security grade SAFE, quality 75/100

Security audit verdict: SAFE · quality 75/100

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 ZubeidHendricks · MCP Server · ★ 561

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

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

About youtube-mcp-server

YouTube MCP Server A Model Context Protocol (MCP) server implementation for YouTube, enabling AI language models to interact with YouTube content through a standardized interface. Available Tools The server currently exposes 10 MCP tools. Find creator channels from video mentio

Quick Facts

Stars561
Forks126
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score75.4007384243105/100
Open Issues13
Last Updated2026-08-08
Created2024-12-29
Platformsmcp, node
Est. Tokens~16k

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Frequently Asked Questions

What is youtube-mcp-server?

youtube-mcp-server is MCP Server for YouTube API, enabling video management, Shorts creation, and advanced analytics. It is categorized as a MCP Server with 561 GitHub stars.

What programming language is youtube-mcp-server written in?

youtube-mcp-server is primarily written in TypeScript.

How do I install or use youtube-mcp-server?

You can find installation instructions and usage details in the youtube-mcp-server GitHub repository at github.com/ZubeidHendricks/youtube-mcp-server. The project has 561 stars and 126 forks, indicating an active community.

What license does youtube-mcp-server use?

youtube-mcp-server 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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