# thonny-ai

> thonny-ai — astroqueststudio-thonny-ai. Use this tool when you need to integrate AI assistants with MicroPython boards, enabling automated control and development with features like auto-reconnect and safe interactions. It solves problems of manual coding and board management, allowing for efficient and visible development processes. The tool accepts inputs from AI assistants like Claude Code and outputs controlled board interactions, ideal for use cases requiring automated MicroPython development and testing.

Canonical page: https://skillsregistry.net/skills/astroqueststudio-thonny-ai  
JSON: https://api.skillsregistry.net/v1/skills/astroqueststudio-thonny-ai

## Description

MCP server + Thonny plugin: let Claude Code or any AI agent program Raspberry Pi Pico & ESP32 in MicroPython. Visible in the shell, approvable, auto-reconnect.

## 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:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/AstroQuestStudio/thonny-ai)

## 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": "astroqueststudio-thonny-ai"
    }
  }
}
```

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