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Code open-ended survey responses: AI code frame (L1-L3), categorization, results and exports.
Open-End Response Analyser – coding of open-ended survey answers 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 100/100。 本目录条目没有收录对应的 GitHub 仓库。下面的命令是来源记录的原文，并不能证明每个客户端都能一键完成安装。MCP 服务器向客户端暴露可调用的工具；agent 技能是一组可复用的指令。此条目是MCP 服务器。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。在将 Open-End Response Analyser – coding of open-ended survey answers 加入生产 agent 工作流前，请核对仓库推送日期和仓库状态——下方事实快照是最近一次抓取的时点值。
mcp add com.surveysai/open-end https://mcp.open-end.surveysai.com/mcp下面的命令是来源记录的原文，并不能证明每个客户端都能一键完成安装。
运行此命令前，请先核对上游源码。
{
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"updatedAt": "2026-11-10T08:18:44.119227Z",
"publishedAt": "2026-11-10T08:18:44.119227Z",
"statusChangedAt": "2026-11-10T08:18:44.119227Z"
}
},
"server": {
"name": "com.surveysai/open-end",
"title": "Open-End Response Analyser – coding of open-ended survey answers",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://mcp.open-end.surveysai.com/mcp",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"isSecret": true,
"isRequired": true,
"description": "Bearer API key (oea_sk_...) from https://open-end.surveysai.com/auth/profile"
}
]
}
],
"version": "1.0.0",
"websiteUrl": "https://open-end.surveysai.com/",
"description": "Code open-ended survey responses: AI code frame (L1-L3), categorization, results and exports."
}
}