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 xgq18237 · MCP Server · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is siyuan_mcp_server safe to install? View the security audit →
思源笔记 MCP 服务器 / SiYuan MCP Server English | 中文 English Version A Model Context Protocol (MCP) server for SiYuan Note, providing complete SiYuan API functionality. 🚀 Quick Start Using npx (Recommended) Using Docker Configure MCP Client Cursor Configuration Open Cursor settings (Ctrl/Cmd + ,) Search for "MCP" or "Model Context Protocol" Click "Add Server" or "添加服务器" Configure server information: Claude Desktop Configuration Open Claude Desktop settings Go to "Model Context Protocol" settings Add new MCP server: json { "
| Stars | 69 |
| Forks | 14 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 58.3726700448493/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-29 |
| Created | 2025-08-03 |
| Platforms | mcp, node |
| Est. Tokens | ~18k |
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siyuan_mcp_server is 思源笔记MCP / SiYuan MCP Server. It is categorized as a MCP Server with 69 GitHub stars.
siyuan_mcp_server is primarily written in TypeScript.
You can find installation instructions and usage details in the siyuan_mcp_server GitHub repository at github.com/xgq18237/siyuan_mcp_server. The project has 69 stars and 14 forks, indicating an active community.
siyuan_mcp_server is released under the MIT license, making it free to use and modify according to the license terms.
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: