# tailscale-mcp-server

> Use this tool when you need to manage Tailscale resources programmatically, solving problems such as automating network configuration and device management. It provides a comprehensive interface to the Tailscale API, accepting inputs like device credentials and network settings, and outputting resource configurations and status updates. Ideal for use cases requiring centralized control over Tailscale deployments, such as large-scale network administration and DevOps automation.

Canonical page: https://skillsregistry.net/skills/pnocera-tailscale-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/pnocera-tailscale-mcp-server

## Description

An MCP (Model Context Protocol) server for managing Tailscale resources using the official Tailscale Go client library v2. This server provides complete coverage of the Tailscale API with enhanced, self-descriptive tools powered by OpenAPI documentation.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ww906nr7yr)
- **Repository:** <https://github.com/pnocera/tailscale-mcp-server>

## 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": "pnocera-tailscale-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pnocera-tailscale-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pnocera-tailscale-mcp-server/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