by Kymo-MCP · MCP Server · ★ 729
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Kymo-MCP/mcpcan.gitTaken from the project's README on GitHub. Check the security audit before running it.
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 | 729 |
| Forks | 26 |
| Language | Go |
| Category | MCP Server |
| Quality Score | 61/100 |
| Open Issues | 6 |
| Last Updated | 2026-04-03 |
| Created | 2025-09-18 |
| Platforms | docker, go, k8s, mcp |
| Est. Tokens | ~22969k |
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.
These tools work well together with mcpcan for enhanced workflows:
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Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.
We handle what engineers and IDEs won't: generating and maintaining technical documentation for your codebase,
Model Context Protocol(MCP) 编程极速入门
Connect any AI model to 1200+ integrations (MCP, CLI, API)
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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: