by 3dify-project · MCP Server · ★ 171
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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 | 171 |
| Forks | 33 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 72/100 |
| Open Issues | 11 |
| Last Updated | 2025-07-05 |
| Created | 2025-03-10 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~105k |
dify-mcp-client as Agent Strategy Plugin with Computer Using Agent (UI-TARS-SDK) support. [!IMPORTANT] Dify is not but . How it works Each (ReAct Agent) node can connect . , , lists are converted into Dify Tools. Your selected LLM can see their , , The LLM calls Tools based on the ReAct loop (Reason → Act → Observe). [!NOTE] Most of the code in this repository contains the following files.
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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: