by jerry-ai-dev · MCP Server · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Knowledge Base & RAG
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. Full audit →
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 | 1,167 |
| Forks | 269 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 57/100 |
| Open Issues | 4 |
| Last Updated | 2026-03-10 |
| Created | 2026-01-20 |
| Platforms | mcp, python |
| Est. Tokens | ~292k |
Modular RAG MCP Server 一个可插拔、可观测的模块化 RAG（检索增强生成）服务框架，通过 MCP（Model Context Protocol）协议对外暴露工具接口，支持 Copilot / Claude 等 AI 助手直接调用。同时也是一份专为大模型相关岗位学习与面试求职设计的实战项目与配套教学资源。 📖 目录 项目概述 分支说明 快速开始 谁适合用这个项目 & 怎么用 简历参考 常见问题 后续安排 🏗️ 项目概述 这个项目是什么 本项目将 RAG 面试中最常见的核心环节——检索（Hybrid Search + Rerank）、多模态视觉处理（Image Captioning）、RAG 评估（Ragas + Custom）、生成（LLM Response）——以及当下热门的应用协议 MCP（Model Context Protocol）...
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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: