# tplink-mcp

> tplink-mcp — axo4xo-tplinkcli. Use this tool when you need to manage and monitor TP-Link routers, as it enables AI agents to list connected clients, check router status, control Wi-Fi settings, and reboot devices through natural language commands. This tool solves problems related to network administration, client management, and remote device control. It accepts natural language inputs and outputs device status, client lists, and control results.

Canonical page: https://skillsregistry.net/skills/axo4xo-tplinkcli  
JSON: https://api.skillsregistry.net/v1/skills/axo4xo-tplinkcli

## Description

Enables AI agents to manage TP-Link routers by listing clients, checking status, controlling Wi-Fi, and rebooting via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tt2tpdeqrb)
- **Repository:** <https://github.com/axo4xo/tplinkcli>

## 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": "axo4xo-tplinkcli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/axo4xo-tplinkcli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/axo4xo-tplinkcli/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