pet-tools-mcp
Provides tools for controlling the VICE Commodore PET emulator, including running BASIC and assembly programs, reading screen content, manipulating memory, setting breakpoints, debugging, and managing disk images, enabling AI agents to code and debug software for the Commodore PET.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@pet-tools-mcpread the current screen contents"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
PET Project
PET Project is a set of tools, skills, and an MCP to enable agentic Commodore PET coding and debugging using the VICE emulator.
The Python package is imported as
petlib, installed aspet-tools, and driven by thepetcommand-line tool.
Install
Requires Python 3.11+, VICE 3.5+ (provides xpet and petcat), and
the cc65 suite (ca65/ld65, for assembling 6502 programs). Then install
this package.
macOS (Homebrew):
brew install vice cc65
pip install -e .Debian / Ubuntu:
sudo apt install vice cc65
pip install -e .Related MCP server: kmux
Quickstart
pip install -e .
pet session start --model pet4032 # boot an emulated PET 4032
pet run tests/programs/hello-basic/program.bas # tokenize + load + RUN
pet run tests/programs/hello-asm/program.s # assemble + load + RUN (needs cc65)
pet screen # read the screen as text
pet basic type prog.bas --run # type a program via the keyboard
pet mem read '$8000' 64 # hex dump of screen RAM
pet break add start # symbolic breakpoint (uses .lbl symbols)
pet wait --break # block until it fires
pet step 5 && pet reg # single-step, inspect (PC annotated)
pet continue # resume
pet disk create work.d64 && pet disk put work.d64 game.prg game
pet session start --disk work.d64 # boot with the disk attached
pet disk boot work.d64 # or attach+run mid-session
pet rom info # identify the loaded ROM set
pet rom disasm CHROUT 16 # annotated live disassembly
pet session stop
pet test run mytest.yaml # declarative YAML test (format in docs/cli.md)
pet test programs # run every example program as a testEvery command takes --json for machine-readable output — the intended
interface for AI agents.
Supported machines
Every session boots a specific PET (--model, default pet4032). Pick by
what you want to target — and tell your AI agent things like "make it fit
on a 4K PET" or "use the pet8032's 80-column screen":
Model | RAM | Free at boot | BASIC | Screen | Notes |
| 4 KB | 3071 bytes | 1.0 | 40×25 | The entry-level 1977 config (PET 2001-4) — the tightest target. |
| 8 KB | 7167 bytes | 1.0 | 40×25 | The 8 KB original (2001-8). Different zero page (jiffy clock at $0200), no disk commands in BASIC. |
| 32 KB | 31743 bytes | 2.0 | 40×25 | The BASIC most 6502 books target. |
| 32 KB | 31743 bytes | 4.0 | 40×25 | The default. Disk commands in BASIC ( |
| 32 KB | 31743 bytes | 4.0 | 80×25 | The 80-column business machine. Screen math changes: a row is 80 bytes. |
| 128 KB | 31743 bytes | 4.0 | 80×25 | Banked RAM — BASIC still sees 32 KB; the rest needs bank switching. |
The screen is memory-mapped at $8000 on every model; "free at boot" is
what BASIC reports, and is the budget a BASIC program (or a SYS-stub
assembly program) actually has to fit in.
Using with AI coding agents
This toolset is built to be driven by an AI agent. Debugging state persists across commands: when the agent halts the machine at a breakpoint, it stays halted while the agent inspects memory, registers, and screen in separate tool calls. There are two ways an agent can use it — pick either or both:
The CLI — every
petcommand takes--json. Works with any agent that can run shell commands; nothing to configure.The MCP server —
pet-tools-mcpexposes the same operations as MCP tools over stdio. CLI and MCP share the same sessions, so they are interchangeable.
Either way, the agent should read
skills/pet-development/SKILL.md (the PET
workflows and pitfalls) before starting — the per-agent steps below make that
happen automatically.
The MCP config used by several agents below is this one block:
{
"mcpServers": {
"pet-tools": { "command": "pet-tools-mcp" }
}
}Setup was verified against each agent's docs in July 2026; if something has moved, check the agent's current MCP documentation.
Any agent with a shell (simplest — works everywhere)
Install (see above) — that's the whole setup.
Start your task prompt with: "Read docs/cli.md and skills/pet-development/SKILL.md, then …"
Claude Code
From the repo root, install the skills so Claude discovers them automatically:
mkdir -p .claude/skills && cp -R skills/* .claude/skills/(Optional) Add the MCP server:
claude mcp add pet-tools -- pet-tools-mcpAsk for what you want — e.g. paste a prompt from
demos/.
No CLAUDE.md edits are needed: installed skills load on demand, and the MCP
tools describe themselves.
OpenAI Codex
Add the MCP server:
codex mcp add pet-tools -- pet-tools-mcp(or add[mcp_servers.pet_tools]withcommand = "pet-tools-mcp"to~/.codex/config.toml).Codex has no skills mechanism, so tell it where the docs are: add one line to the repo's
AGENTS.md— "For Commodore PET work, first read skills/pet-development/SKILL.md and docs/cli.md."Paste a prompt from
demos/.
Cursor
Create
.cursor/mcp.jsonin the repo (or~/.cursor/mcp.jsonglobally) containing the JSON block above.Create a rule (
.cursor/rules/pet.mdc) — or a plainAGENTS.md— with the same one-liner: "For Commodore PET work, first read skills/pet-development/SKILL.md and docs/cli.md."Paste a prompt from
demos/.
Gemini CLI
Add the JSON block above to
.gemini/settings.jsonin the repo (or~/.gemini/settings.jsonglobally).Add the same read-the-skill one-liner to
GEMINI.md.Paste a prompt from
demos/.
Google Antigravity
Open the MCP store → Manage MCP Servers → View raw config and add the JSON block above (the file is
~/.gemini/config/mcp_config.json).Add the read-the-skill one-liner to
AGENTS.md.Paste a prompt from
demos/.
Demos — try it with your AI agent
demos/ is a set of ready-to-paste prompts, graded from a first
BASIC program up to a full arcade Snake in 6502 assembly (title screen,
levels, high score) and a machine-level debug hunt. To use one:
Set up your agent (one section up — or use any shell agent with no setup).
Open a demo file and copy its prompt.
Paste it into your agent and watch it write, run, and debug real PET software on the emulated machine.
The reference example programs (with expected screen output, runnable as
regression tests via pet test programs) live in
tests/programs/.
Sharing what you built
pet package turns a source file into something any VICE user can run — no
pet-tools needed on their end:
pet package snake.s -o snake.d64 --title SNAKEThat assembles the program and writes it as the first file on a fresh disk image, so it autostarts. The recipient just needs VICE installed:
xpet snake.d64 # boots an emulated PET and runs SNAKEThe bare .prg (also produced) works too — xpet snake.prg autostarts it,
as does VICE's File → Smart attach. Disk images travel better: they carry a
real CBM directory, so LOAD"SNAKE",8 then RUN works the old-fashioned
way. Neither artifact contains ROMs or anything from this toolset.
Status
v1 complete — all planned phases shipped: sessions, screen, memory,
registers, pet build (ca65/ld65), pet basic (petcat), pet load/pet run,
symbolic breakpoints and watchpoints with conditions, pet step/finish/
continue/until, the pet wait synchronization primitive, pet disk
(create/ls/put/get/boot via c1541), pet rom info/disasm, pet test
(declarative YAML tests + example programs), the pet-tools-mcp MCP server, and the AI
enablement docs (the pet-development and 6502-assembly skills, the machine
references, and the docs/cli.md man pages).
Since v1: a per-session monitor daemon — the machine's run/stop state now
persists across commands, so a breakpoint halt survives any number of
inspection steps (the debugger works the way you'd hope); pet package for
shareable .d64/.prg artifacts; and the pet2001-4k launch profile.
AI Disclosure
PET Project is developed primarily by AI — Anthropic's Claude, working through Claude Code — under human direction: a human sets the goals, reviews the designs and plans, and approves the work; the AI writes the specs, plans, code, tests, and documentation. Every change is verified by the automated test suite, including integration tests that run against a real VICE emulator, before it lands. The project also exists for AI use — these tools are built so AI agents can write and debug Commodore PET software — making it a working example of AI-built developer tooling.
License
MIT license. Note that VICE is a separate GPLv2+ program invoked as a subprocess; it is not bundled and must be installed separately.
ROM tooling reads ROM bytes from your running emulator and ships only original label annotations — no Commodore-copyrighted code lives in this repo.
Maintenance
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