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住在 QQ 群里的 AI 角色：被 @ 才说话，有长期记忆、会看图上网；也能自己去 B 站刷视频——觉得有意思就在评论区 @ 你。2 核 2G 入门服务器实测核心 607 MB、单轮回复 1~2 秒。7 个自建 MCP，核心纯 Python 标准库零依赖。部署交给你的 AI：答几个问题 + 扫一次码。
qq-ai-bot is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 50/100. 住在 QQ 群里的 AI 角色：被 @ 才说话，有长期记忆、会看图上网；也能自己去 B 站刷视频——觉得有意思就在评论区 @ 你。2 核 2G 入门服务器实测核心 607 MB、单轮回复 1~2 秒。7 个自建 MCP，核心纯 Python 标准库零依赖。部署交给你的 AI：答几个问题 + 扫一次码。. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding qq-ai-bot to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/DengSSHS/qq-ai-bot.gitReview the upstream source before running this command.
Scan coverage: Install metadata and repository README.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
{
"fullName": "DengSSHS/qq-ai-bot"
}住在 QQ 群里的 AI 角色：被 @ 才说话，有长期记忆、会看图上网；也能自己去 B 站刷视频——觉得有意思就在评论区 @ 你。2 核 2G 入门服务器实测核心 607 MB、单轮回复 1~2 秒。7 个自建 MCP，核心纯 Python 标准库零依赖。部署交给你的 AI：答几个问题 + 扫一次码。