# wharfy

> wharfy — egebilge-wharfy. Use this tool when you need to manage and inspect local development ports on macOS, identify and kill owning processes, and assess LAN exposure. It provides a comprehensive interface for AI agents to input port numbers and receive output on listening ports, process ownership, and parent chains. Ideal for use cases requiring safe process termination, port waiting, and network security inspection.

Canonical page: https://skillsregistry.net/skills/egebilge-wharfy  
JSON: https://api.skillsregistry.net/v1/skills/egebilge-wharfy

## Description

MCP server for managing local dev ports on macOS. It enables AI agents to inspect listening ports, identify owning processes and parent chains, kill processes safely, wait for ports, and report LAN exposure.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gtntnndrgt)
- **Repository:** <https://github.com/egebilge/wharfy>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "egebilge-wharfy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/egebilge-wharfy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/egebilge-wharfy/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt