by Zaneris · MCP Server · ★ 166
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
claude mcp add passenger -- /Applications/Passenger.app/Contents/MacOS/Passenger --mcp-attach
codex mcp add passenger -- /Applications/Passenger.app/Contents/MacOS/Passenger --mcp-attachTaken 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 | 166 |
| Forks | 13 |
| Language | C# |
| Category | MCP Server |
| License | MIT |
| Quality Score | 61/100 |
| Open Issues | 52 |
| Last Updated | 2026-10-23 |
| Created | 2026-10-11 |
| Platforms | dotnet, mcp |
| Est. Tokens | ~21k |
Passenger An IDE for C# and modern .NET, written in C# with Avalonia, free and open source under MIT. Windows and macOS first, with builds for Linux (how to install them). Website • Download • What it does • Your coding agent • Building • Contributing Passenger edits, builds, runs, tests, debugs and profiles C# and .NET.
These tools work well together with passenger for enhanced workflows:
Looking for a passenger alternative? If you're comparing passenger with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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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: