# Tailscale RMCP

> Tailscale RMCP — ai-dinglebear-rtailscale. Use this tool when you need to manage Tailscale devices, routes, DNS, keys, users, and access control lists (ACLs) remotely. It solves problems related to secure network configuration and user management by providing a command-line interface (CLI) and MCP protocol support. Ideal for use cases requiring centralized management of Tailscale networks and devices.

Canonical page: https://skillsregistry.net/skills/ai-dinglebear-rtailscale  
JSON: https://api.skillsregistry.net/v1/skills/ai-dinglebear-rtailscale

## Description

Tailscale device, route, DNS, key, user, and ACL management over MCP and CLI.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.4
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.dinglebear%2Frtailscale)
- **Repository:** <https://github.com/dinglebear-ai/rtailscale>

## Use it

MCP endpoint published by the skill: `https://ts.dinglebear.ai/mcp`

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": "ai-dinglebear-rtailscale"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-dinglebear-rtailscale` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-dinglebear-rtailscale/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