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 82ch · MCP Server · ★ 65
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is MCP-Dandan safe to install? View the security audit →
MCP-Dandan - MCP Security Framework MCP-Dandan Overview MCP-Dandan is an integrated monitoring service that observes MCP (Model Context Protocol) communications and detects security threats in real time. It features a modern desktop UI built with Electron for easy monitoring and management. Currently, MCP-Dandan is listed in well-known MCP-related open-source collections and can be found in the following repositories: Awesome MCP Servers – Security Awesome MCP Security – Tools & Code https://github.com/user-attachments/assets/928686ab-a5aa-4486-8d8e-d4a9592adc3e Features Real-time MCP Traffic Monitoring: Intercepts and analyzes MCP communications Multi-Engine Threat Detection: Command Injection Detection File System Exposure Detection PII Leak Detection(custom rules supported) Data Exfiltration De
| Stars | 65 |
| Forks | 8 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.6315171504923/100 |
| Last Updated | 2026-08-10 |
| Created | 2025-11-10 |
| Platforms | mcp, python |
| Est. Tokens | ~14k |
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MCP-Dandan is MCP Security Solution for Agentic AI — real-time proxying, behavior analysis, and malicious tool detection. It is categorized as a MCP Server with 65 GitHub stars.
MCP-Dandan is primarily written in Python. It covers topics such as ai-security, ai-security-tool, ai-tools.
You can find installation instructions and usage details in the MCP-Dandan GitHub repository at github.com/82ch/MCP-Dandan. The project has 65 stars and 8 forks, indicating an active community.
MCP-Dandan is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to MCP-Dandan on Agent Skills Hub include hasmcp-ce, MCP-Defender, toolhive-studio. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: