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 c1pher-cn · MCP Server · ★ 266
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ha-mcp-for-xiaozhi safe to install? View the security audit →
ha-mcp-for-xiaozhi English 中文 Homeassistant MCP server for 小智AI，直连小智AI官方服务器。 插件能力介绍 1.HomeAssistant自身作为mcp server 以websocket协议直接对接虾哥服务器，无需中转 2.在一个实体里同时选择多个API组（HomeAssistant自带控制API、用户自己配置的MCPServer）并将它们一起代理给小智 3.支持同时配置多个实体 功能演示（为爱发电不易，有币投投币、没币点点赞、刷
| Stars | 266 |
| Forks | 54 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60.2294636605271/100 |
| Last Updated | 2026-09-09 |
| Created | 2025-05-22 |
| Platforms | mcp, python |
| Est. Tokens | ~10k |
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ha-mcp-for-xiaozhi is Homeassistant MCP server for 小智AI. It is categorized as a MCP Server with 266 GitHub stars.
ha-mcp-for-xiaozhi is primarily written in Python. It covers topics such as home-assistant, mcp, mcp-server.
You can find installation instructions and usage details in the ha-mcp-for-xiaozhi GitHub repository at github.com/c1pher-cn/ha-mcp-for-xiaozhi. The project has 266 stars and 54 forks, indicating an active community.
ha-mcp-for-xiaozhi is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ha-mcp-for-xiaozhi on Agent Skills Hub include hass-mcp, home-assistant-vibecode-agent, mcp-endpoint-server. 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: