by mike-nott · MCP Server · ★ 112
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 112 |
| Forks | 23 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-29 |
| Created | 2025-12-14 |
| Platforms | mcp, python |
| Est. Tokens | ~18k |
MCP Assist for Home Assistant A Home Assistant conversation agent that uses MCP (Model Context Protocol) for efficient entity discovery, achieving 95% token reduction compared to traditional methods. Works with LM Studio, llama.cpp, Ollama, OpenAI, Google Gemini, Anthropic Claude, and OpenRouter.
These tools work well together with mcp-assist for enhanced workflows:
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Your smart assistant to manage and maintain your home.
A Home Assistant Custom Component that provides an MCP (Model Context Protocol) server using HTTP transport, a
HA-MCP Custom Component - HACS distribution mirror of homeassistant-ai/ha-mcp (integration only)
Control and query Home Assistant from Claude and other LLMs — a Model Context Protocol (MCP) server.
Homeassistant MCP server for 小智AI
Exposes internet search tools for use by LLM-backed Assist in Home Assistant
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: