# pytraeger-client

> pytraeger-client — bruno-t-de-renzo-pytraeger-client. Use this tool when you need to interact with Traeger WiFIRE grills using an async Python client, solving problems such as remote grill monitoring and control. It provides an interface to the Traeger WiFIRE grill IoT API, accepting inputs like grill settings and returning outputs like temperature readings. Ideal for use cases involving smart grill automation and integration with other IoT systems.

Canonical page: https://skillsregistry.net/skills/bruno-t-de-renzo-pytraeger-client  
JSON: https://api.skillsregistry.net/v1/skills/bruno-t-de-renzo-pytraeger-client

## Description

Async Python client for the Traeger WiFIRE grill IoT API, with an optional MCP server

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/bruno-t-de-renzo/pytraeger-client)

## 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": "bruno-t-de-renzo-pytraeger-client"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bruno-t-de-renzo-pytraeger-client` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bruno-t-de-renzo-pytraeger-client/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
