# WPA MCP

> Use this tool when you need to automate WiFi connections and management on Linux systems, solving problems such as secure network authentication and connectivity issues. It exposes WiFi control capabilities through wpa_supplicant, accepting inputs like network credentials and protocol types, and outputs connection status and debug information. Use it in contexts where automated WiFi management is required, such as robotic or IoT applications.

Canonical page: https://skillsregistry.net/skills/dogkeeper886-wpa-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dogkeeper886-wpa-mcp

## Description

An MCP server that exposes WiFi control capabilities through wpa_supplicant on Linux, enabling AI agents to scan wireless networks, connect to WPA-PSK, WPA2-Enterprise, EAP-TLS, and other wireless protocols, handle captive portals, randomize MAC addresses, and debug connectivity issues. Can be deployed natively on Linux or in a Docker container with network namespace isolation for WiFi interface management.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dogkeeper886-wpa-mcp)
- **Repository:** <https://github.com/dogkeeper886/wpa-mcp>

## 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": "dogkeeper886-wpa-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dogkeeper886-wpa-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dogkeeper886-wpa-mcp/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