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by Mapika · MCP Server · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is portview safe to install? View the security audit →
portview portview lists ports and the processes using them on Linux, macOS, and Windows. It shows process names, commands, memory usage, and uptime. You can inspect a port, stop its process, or monitor changes in an interactive terminal UI. It also supports Docker, remote hosts over SSH, and an MCP server for coding agents. Install Homebrew: Linux / macOS: Windows (PowerShell): Or use , or download a binary from Releases. What it does bash portview # list all listening ports portview 3000 # inspect port 3000 in detail portview node # find ports by process name portview watch # interactive TUI with
| Stars | 58 |
| Forks | 2 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.8189242643878/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-21 |
| Created | 2026-02-07 |
| Platforms | cli, docker, mcp, rust |
| Est. Tokens | ~25k |
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portview is List ports and their processes on Linux, macOS, and Windows.. It is categorized as a MCP Server with 58 GitHub stars.
portview is primarily written in Rust. It covers topics such as ai-agents, cli, devops.
You can find installation instructions and usage details in the portview GitHub repository at github.com/Mapika/portview. The project has 58 stars and 2 forks, indicating an active community.
portview is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to portview on Agent Skills Hub include homebutler, PyMemoryEditor, homelab-monitor. 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: