# pet-tools-mcp

> pet-tools-mcp — nschneir-pet-project. Use this tool when you need to develop and test Commodore PET software, as it provides a comprehensive suite of CLI and MCP tools for session control, screen reading, and memory manipulation. It solves problems related to coding and debugging vintage computer software, allowing for efficient testing and validation. With inputs including code and emulator settings, and outputs including debug logs and test results, it streamlines the development process for retro computing projects.

Canonical page: https://skillsregistry.net/skills/nschneir-pet-project  
JSON: https://api.skillsregistry.net/v1/skills/nschneir-pet-project

## Description

Enables AI agents to code and debug Commodore PET software using the VICE emulator, with CLI and MCP tools for session control, screen reading, memory manipulation, and testing.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zrf4fdcmkb)
- **Repository:** <https://github.com/nschneir/PET-Project>

## 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": "nschneir-pet-project"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nschneir-pet-project` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nschneir-pet-project/pull`

---
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