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Build motion-graphics lessons with sentence-synced TTS for any subject: one sentence, one scene.
Flow Learning System 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 56/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。该条目暂无自动安装命令，请查阅仓库获取手动安装说明。 在将 Flow Learning System 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
查看来源文档运行此命令前，请先核对上游源码。
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"isLatest": true,
"updatedAt": "2026-10-24T02:08:08.303183Z",
"publishedAt": "2026-10-24T02:08:08.303183Z",
"statusChangedAt": "2026-10-24T02:08:08.303183Z"
}
},
"server": {
"name": "io.github.ghlee0786/flow-learning-system",
"title": "Flow Learning System",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.0",
"packages": [
{
"transport": {
"type": "stdio"
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"identifier": "https://github.com/ghlee0786/flow-learning-system/releases/download/v0.1.0/flow-learning-system-0.1.0.mcpb",
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"source": "github"
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"websiteUrl": "https://github.com/ghlee0786/flow-learning-system",
"description": "Build motion-graphics lessons with sentence-synced TTS for any subject: one sentence, one scene."
}
}