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 Kuhakucai · MCP Server · ★ 57
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is douyin-mcp safe to install? View the security audit →
douyin-mcp 让 AI 同时读懂你的抖音创作数据和视频内容 本地运行 · 音轨文案按需提取 · 数据可追溯 · 面向个人创作者的 MCP Server 快速开始 · 核心能力 · 视频文案 · 推荐用法 · MCP 工具 · 工作原理 · 安全合规 [!IMPORTANT] 这是非官方社区工具。 本项目未获抖音或其关联公司授权、认可或背书。项目使用 Playwright 操作浏览器；即使只读取本人账号中真实可见的数据，也可能违反平台条款或触发账号风控。使用前请阅读平台合规与非官方声明，确认已取得所需授权，并先
| Stars | 57 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 64.7344888600652/100 |
| Last Updated | 2026-07-29 |
| Created | 2026-07-07 |
| Platforms | mcp, python |
| Est. Tokens | ~17k |
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douyin-mcp is ⚡ 本地运行的抖音创作者数据 MCP Server：让 AI 读懂你的抖音创作数据，能够进行查询、对比并复盘作品表现。. It is categorized as a MCP Server with 57 GitHub stars.
douyin-mcp is primarily written in Python. It covers topics such as ai-agent, creator-tools, douyin.
You can find installation instructions and usage details in the douyin-mcp GitHub repository at github.com/Kuhakucai/douyin-mcp. The project has 57 stars and 9 forks, indicating an active community.
douyin-mcp is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to douyin-mcp on Agent Skills Hub include PolyMCP, MCP-PostgreSQL-Ops, magg. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: