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 ELDment · MCP Server · ★ 97
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Meting-Agent safe to install? View the security audit →
简体中文 English Meting-Agent 是基于 metowolf/Meting 构建的多平台音乐能力封装，当前提供两类交付物： MCP：@eldment/meting-agent Skill：skills/meting-agent 运行截图 🎨 功能 统一接口： ：按关键字搜索歌曲、专辑、歌手或平台特定资源 ：按歌曲 ID 获取歌曲详情 ：按专辑 ID 获取专辑详情 ：按歌手 ID 获取歌手作品列表 ：按歌单 ID 获取歌单详情 ：按歌曲 ID 获取可播放链接 ：按歌曲 ID 获取歌词内容 ：按资源 ID 获取封面或图片链接 支持平台：网易云音乐（）、腾讯音乐（）、酷狗音乐（）、酷我音乐（） 文档 MCP 配置说明见 mcp/README.md Skill 配置说明见 skills/meting-agent/README.md 贡献流程与同步机制（编译时报错）说明见 docs/CONTRIBUTING.md 致谢 感谢 metowolf/Meting 提供跨平台统一接口与各平台 provider 实现 关键词: MCP Server Playlist API
| Stars | 97 |
| Forks | 11 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 56.7589809200055/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-20 |
| Created | 2026-03-15 |
| Platforms | mcp, node |
| Est. Tokens | ~22k |
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Meting-Agent is 🪐 面向 AI 的多音乐平台的 API 代理 • 网易云 • QQ音乐 • 酷狗 • 酷我 🎻 Multi-platform music API agent for AI • NetEase • QQ Music • KuGou • Kuwo. It is categorized as a MCP Server with 97 GitHub stars.
Meting-Agent is primarily written in JavaScript. It covers topics such as ai-agent, lyrics-api, mcp.
You can find installation instructions and usage details in the Meting-Agent GitHub repository at github.com/ELDment/Meting-Agent. The project has 97 stars and 11 forks, indicating an active community.
Meting-Agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Meting-Agent on Agent Skills Hub include deterministic-agent-control-protocol, mcp-google-map, google-analytics-mcp. 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: