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ice-puzzle-mcp

v1.1.2

Published

MCP plugin for building, testing, and publishing ice puzzle levels with AI

Readme

ice-puzzle-mcp

MCP (Model Context Protocol) server for building, validating, and publishing Ice Puzzle levels with AI assistants.

Why Use This

  • Build puzzle levels quickly with solver-backed feedback after each edit.
  • Keep design fun: sketch an idea, ask the AI to iterate, and immediately test solvability and quality gates.
  • Compare AI models on the same level-design task with objective outputs (solve_level, analyze_difficulty, validate_quality_gate, check_publish_readiness).
  • Publish with confidence using preview + readiness checks instead of one-shot blind publishing.

Quick Start (Codex / Claude)

1) Install

npm install -g ice-puzzle-mcp

Or run without global install:

npx -y ice-puzzle-mcp setup

2) Get an API key (required for remote drafts, preview, publish)

  1. Open https://ice-puzzle-game.web.app/.
  2. Sign in with Google.
  3. Open Settings > Developer.
  4. Click generate API key.
  5. Copy the key (ipk_...) and keep it private.

3) Run setup

ice-puzzle-mcp setup

If you did not install globally, use:

npx -y ice-puzzle-mcp setup

Setup will:

  • Validate your API key by exchanging it once.
  • Save config to ~/.ice-puzzle-mcp/config.json with 0600 permissions.
  • Register MCP in Codex and Claude when available.
  • Auto-discover Codex CLI from PATH and standard app locations (including /Applications/Codex.app/Contents/Resources/codex).

4) Verify registration

codex mcp list --json

You should see an ice-puzzle-mcp entry. Restart your AI client after setup.

What It Does

  • Exposes 63 tools for level editing, solve diagnostics, design assistance, layout seeding, quality gates, campaign examples, local snapshots, preview staging, and Firebase publishing.
  • Mirrors gameplay mechanics from the ice_puzzle app solver/runtime.
  • Enforces canonical publish checks: par == shortest, timeout death at moves >= par, warp-stop semantics, and hot coals shortcut diagnostics.
  • Adds design-assist workflow helpers: dry-run placement tests, reachability maps, stop-point suggestions, layout seeding, undo/redo, and revert-to-last-solvable recovery.
  • Supports offline-first design (all local tools work without auth).

Install

npm install ice-puzzle-mcp

Run

npx ice-puzzle-mcp serve

Optional Auth Setup (for remote drafts + publishing)

  1. Open https://ice-puzzle-game.web.app/.
  2. Sign in with Google.
  3. Go to Settings > Developer and generate an API key.
  4. Run setup and paste your key when prompted:
npx ice-puzzle-mcp setup

By default, setup uses the correct exchange URL automatically and does not prompt for it. Only use advanced mode if you need to override it:

npx ice-puzzle-mcp setup --advanced

Setup stores config at ~/.ice-puzzle-mcp/config.json with mode 0600, registers ice-puzzle-mcp in Codex via codex mcp add when Codex is installed (including app-bundle fallback discovery at /Applications/Codex.app/Contents/Resources/codex), and updates your Claude MCP config (~/.claude/.mcp.json or ~/.claude/mcp.json) using a unique server key (ice-puzzle-mcp, ice-puzzle-mcp-2, ... if needed).

Firebase client config is no longer hardcoded in the package. By default, it is loaded from https://<project-id>.web.app/__/firebase/init.json (project ID from config/env, default ice-puzzle-game), or you can provide explicit ICE_PUZZLE_FIREBASE_* environment variables / firebase overrides in config.

AI Model Comparison Workflow

Use this project as a repeatable level-design benchmark between models.

  1. Give each model the same prompt and constraints.
  2. Require title provenance in every generated level name:
  • Prefix with [Claude] for Claude-generated levels.
  • Prefix with [Codex] for Codex-generated levels.
  • Example: [Codex] L14 - Warp Plate Gauntlet.
  1. Require the same build loop: edit one mechanic at a time and run solve_level after each change.
  2. Collect objective outputs:
  • solve_level (solvable, shortest path, moves)
  • analyze_difficulty (difficulty signals, direction balance)
  • validate_quality_gate (pass/fail checks)
  • check_publish_readiness (publish blockers)
  1. Compare results on:
  • Correctness (solvable, no shortcuts, par integrity)
  • Design quality (path structure, mechanic integration, anti-shortcut robustness)
  • Efficiency (how many edits/iterations needed to pass all checks)
  1. Optionally publish or preview top candidates and run playthrough feedback.

This makes AI-vs-AI comparisons concrete instead of subjective.

Tool Categories

Level Management (10)

  • create_level
  • get_level
  • save_local_draft
  • load_local_draft
  • list_drafts
  • delete_draft
  • import_level
  • export_level
  • rename_level
  • clear_level

History + Recovery (3)

  • undo
  • redo
  • revert_to_last_solvable

Tile + Region Operations (6)

  • place_tile
  • remove_tile
  • move_tile
  • place_tiles_batch
  • fill_region
  • clear_region

Grid + Positions (5)

  • set_grid_size
  • set_start
  • set_goal
  • set_par
  • set_par_to_shortest

Special Elements (10)

  • add_warp_pair
  • remove_warp
  • add_thin_ice
  • remove_thin_ice
  • add_pushable_rock
  • remove_pushable_rock
  • set_pressure_plate
  • remove_pressure_plate
  • set_barrier
  • remove_barrier

Solver + Validation (10)

  • solve_level
  • test_placement
  • reachable_from
  • suggest_stop_points
  • simulate_move
  • simulate_playthrough
  • analyze_difficulty
  • validate_quality_gate
  • check_publish_readiness
  • visualize_level

Layout Seeding (2)

  • seed_layout_pattern
  • suggest_skeleton_layout

Rules + Docs (4)

  • get_game_rules
  • get_tile_types
  • get_level_requirements
  • interaction_faq

Campaign Examples (2)

  • list_campaign_examples
  • get_campaign_example

Firebase / Publishing (11)

  • save_draft
  • load_draft
  • list_remote_drafts
  • delete_remote_draft
  • list_my_published_levels
  • get_my_published_level
  • unpublish_level
  • restore_published_level
  • publish_level
  • preview_level
  • auth_status

Canonical Rules Enforced

  • Non-tutorial levels may have tied optimal paths, but shortest optimal length must equal par.
  • Any path shorter than par is a hard failure.
  • Timeout death is strict: if moves >= par and goal not reached, run fails (WASTED).
  • Warp behavior: stepping on warp teleports to pair and ends movement.
  • Hot Coals/hot tile behavior: -5 HP on landing and -5 HP/sec while standing.
  • Thin ice behavior: crossing marks tile broken; entering broken thin ice is fatal.
  • Draft payload parity: thin ice and pushables must use dedicated fields (thinIceTiles, pushableRocks).

Local + Remote Drafts

  • Local snapshots are in-memory (this MCP process).
  • Remote drafts/publishing use Firebase (draftLevels, communityLevels, notifications).
  • Use preview_level for staging links and check_publish_readiness before publish_level.
  • Published level lifecycle tools are available via list_my_published_levels, get_my_published_level, unpublish_level, and restore_published_level.

Development

npm install
npm run build
npm test

License

MIT