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 yuque · MCP Server · ★ 220
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is yuque-mcp-server safe to install? View the security audit →
Yuque MCP Server MCP server for Yuque (语雀) — expose your knowledge base to AI assistants through the Model Context Protocol. 🌐 Website · 📖 API Docs · 中文文档 Quick Start Get Your Yuque API Token Visit Yuque Developer Settings to create a personal access token. Quick Install (Recommended) Use the built-in CLI to auto-configure your MCP client in one command: Supported clients: , , , , , , , Or use the interactive setup wizard: The CLI will automatically find the correct config file for your OS, merge with any existing configuration (without overwriting other servers), and print a success message. Manual Configuration Prefer to configure manually? Click to expand all client conf
| Stars | 220 |
| Forks | 26 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.6263521118073/100 |
| Open Issues | 13 |
| Last Updated | 2026-07-15 |
| Created | 2026-02-14 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
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yuque-mcp-server is Yuque MCP Server - Model Context Protocol server for Yuque API. It is categorized as a MCP Server with 220 GitHub stars.
yuque-mcp-server is primarily written in TypeScript.
You can find installation instructions and usage details in the yuque-mcp-server GitHub repository at github.com/yuque/yuque-mcp-server. The project has 220 stars and 26 forks, indicating an active community.
yuque-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: