# Traefik MCP Server

> Use this tool when you need to manage and monitor Traefik reverse proxy configurations through natural language queries, enabling AI assistants to perform administrative tasks, monitor service health, and view statistics across providers like Docker. It solves problems related to configuration management, service monitoring, and task automation, providing a user-friendly interface for inputs like natural language queries and outputs like configuration updates and statistics. Ideal for use cases where streamlined Traefik management and automation are required.

Canonical page: https://skillsregistry.net/skills/theupriser-treafik-mcp  
JSON: https://api.skillsregistry.net/v1/skills/theupriser-treafik-mcp

## Description

Enables AI assistants to query and manage Traefik reverse proxy configurations, including routers, services, and middlewares, through natural language. It supports monitoring service health, viewing statistics, and performing administrative tasks across various providers like Docker.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y6kbsna5sl)
- **Repository:** <https://github.com/theupriser/treafik-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": "theupriser-treafik-mcp"
    }
  }
}
```

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