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 Kymo-MCP · MCP Server · ★ 729
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcpcan safe to install? View the security audit →
MCP CAN The open source integration platform for MCP Server. MCPCAN uses containers for flexible deployment of MCP services, resolving potential system configuration conflicts. It supports multi-protocol compatibility and conversion, enabling seamless integration between different MCP service architectures. It also provides visual monitoring, security authentication, and one-stop deployment capabilities. English | 中文版 DemoSite : demo.mcpcan.com（login: admin/admin123） | MainSite : www.mcpcan.com Document
| Stars | 729 |
| Forks | 26 |
| Language | Go |
| Category | MCP Server |
| Quality Score | 61.4864017444321/100 |
| Open Issues | 6 |
| Last Updated | 2026-04-03 |
| Created | 2025-09-18 |
| Platforms | docker, go, k8s, mcp |
| Est. Tokens | ~22969k |
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mcpcan is MCPCAN is a centralized management platform for MCP services. It deploys each MCP service using a container deployment method. The platform supports container monitoring and MCP service token verifica. It is categorized as a MCP Server with 729 GitHub stars.
mcpcan is primarily written in Go. It covers topics such as ai, apitomcp, container.
You can find installation instructions and usage details in the mcpcan GitHub repository at github.com/Kymo-MCP/mcpcan. The project has 729 stars and 26 forks, indicating an active community.
The top alternatives to mcpcan on Agent Skills Hub include k8s-mcp-server, shadcn-ui-mcp-server, inspector. 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: