mcp server
Courtship
Courtship is an optimized translator for your LÖVE game, so your AI assistant can actually see and touch the game without drowning in data.
Set up
Runs on your computer. Pick your agent and operating system.
Before you start
- Docker Desktop
{
"mcpServers": {
"courtship": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/grimmdev/courtship:1.0.2"
]
}
}
}same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12
Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs
README
synced Nov 8, 2026The protocol layer between your agent and your LOVE game.
courtship (court) is an all-in-one, efficiency-governed MCP runtime and task-level benchmarking harness for LOVE game development. It natively encapsulates live-game inspection, code execution, Agent Joypad input simulation, safe crash recovery, and an offline LOVE 12 API docs index in a single zero-dependency static binary, while also capable of acting as a governing efficiency proxy in front of existing upstream servers.
1. Problem & Thesis
The LOVE Model Context Protocol (MCP) ecosystem is functional but ungoverned. Raw bridges emit monolithic game state objects, eager documentation dumps, and hundreds of unpruned keys on every interaction, causing context bloat and runaway token cost.
Courtship acts as the measurement and remediation layer, proving three foundational claims:
| Claim | Goal | Empirically Measured | Status |
|---|---|---|---|
| 1. Standing Context Tax | Cut standing schema context by >=70% | 76.5% reduction (340 vs 1,450 tokens) | Proven |
| 2. Response Shaping Spend | Cut per-task token spend by >=40% | 53.4% average reduction | Proven |
| 3. Unified Router Efficiency | Beat separate MCP servers for mixed tasks | -40% latency, -33% calls via local FTS5 | Proven |
2. Architecture
+-----------------+ MCP (stdio/HTTP) +--------------------------------+
| AI Client |<---------------------------->| court proxy |
| (Claude Code, | ~340 token | +- meta-tools (5 standing) |
| Cursor, IDE) | standing surface | +- heuristic router |
+-----------------+ | +- response shaper & cursors |
| +- session token ledger |
| +- upstream pool manager |
+---------------+----------------+
| MCP
+-------------------------+--------------------------+
| | |
v v v
LovePilot LOVE 12 Docs Custom Game Servers
| (SQLite FTS5)
v
LOVE Game
(TCP 12345)
The proxy operates as a daemon with an internal registry, not a dumb passthrough. Tool schemas remain daemon-side until hydrated on-demand, expiring after N inactive turns.
3. GitHub MCP Registry & Client Setup
Courtship is published to the official Model Context Protocol (MCP) Registry under the verified namespace:
io.github.grimmdev/courtship
Installation in VS Code / Cursor / Claude Desktop
Option A: Native Binary (Fastest)
Download the binary from Releases or build via cargo build --release --bin court.
Add to your MCP client configuration (mcp.json or claude_desktop_config.json):
{
"mcpServers": {
"courtship": {
"command": "court",
"args": ["proxy"]
}
}
}
Option B: Containerized via Docker / GitHub Packages
Run without installing local dependencies:
{
"mcpServers": {
"courtship": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/grimmdev/courtship:latest"
]
}
}
}
4. Core Capabilities
4.1 Standing Surface (< 500 Tokens)
Only 5 compact meta-tools are exposed permanently in standing context (~340 tokens), keeping context clean while allowing the agent to discover or invoke any game tool on-demand:
discover_tools(query, limit): Fuzzy discovery without schema ingestion.load_tool_schema(name): Hydrates full JSON schema on-demand.call_tool(name, args): Executes tool through compression filters.love_task(goal, context): Intelligent intent router (docs vs inspect vs exec).report_usage(): Session token, call, and latency accounting.
4.2 Built-in Game Capabilities (Available via call_tool & discover_tools)
simulate_input(sequence): Agent Joypad: Dispatches timed keyboard inputs (press,keydown,keyup).step_frames(count, dt): Deterministic Frame Stepping: Advances physics by N ticks at fixed dt.get_last_crash(): Safe Crash Diagnostics: Non-fatal stack trace and locals recovery.clear_crash(): Resumes game loop after hot-patching.visual_diff(image_a, image_b): Visual Regression: Compares two screenshots and returns bounding boxes.get_objects(): Returns active entity coordinates and types in lean format.get_screenshot(): Returns downscaled, cropped PNG framebuffers.run_lua(code): Evaluates arbitrary Lua inside the game loop.
4.3 Safe Crash Interception (love.errhand override)
Prevents the infamous LOVE "Blue Screen of Death" from crashing the process or severing the MCP bridge when an agent introduces a bug:
- Replaces
love.errhandto pause execution and render an in-game diagnostic HUD rather than terminating. - Extracts offending source file, line number,
debug.traceback(), and active local variables. - Keeps the TCP socket listener active so the agent can inspect the failure via
get_last_crash(), write a fix, and hot-reload.
4.4 Agent Joypad & Deterministic Physics Verification
Enables agents to test game mechanics that require time and movement:
- Input Sequencing: Dispatches timed action series (e.g. hold
Dfor 1.2s, pressSpace, release). - Frame Stepping: Advances
love.update(dt)by exact frame counts at fixed delta time (default1/60), eliminating wall-clock jitter when validating platformer physics and collisions.
4.5 8-Rule Response Shaper
Every tool return and notification passes through deterministic shaping:
- Field Projection: Prunes entity graphs to
{id, type, name, x, y}. - Null/Empty Stripping: Drops empty arrays, objects, and empty strings.
- Depth Capping: Deep object graphs (>3 levels) collapsed to
"<table: N keys>". - Array Slicing & Cursors: Arrays >50 items sliced with cursor hints stored in memory.
- Token Ceiling: Automatically truncates and budgets payloads exceeding
max_tokens. - Screenshot Compression: Region crop and bilinear downscaling (0.5 default) to prevent vision token blowouts.
- Delta Mode: Continuous streams (
watch_game_state) suppress identical ticks to 0 tokens. - Doc Pruning: Strips wiki navigation chrome and deduplicates code samples.
4.6 Zero-Instrumentation Launcher (court run)
Wraps any existing LOVE game dynamically:
court run ./mygame --mcp-port 12345
Automatically mounts source files and hooks love.update, love.draw, and the bridge without modifying your repository. For manual integration, court init generates the 5-line inline hook.
5. Benchmark Results
Running court bench --compare lovepilot,courtship on reference suites:
task tokens calls p95ms turns success
--------------------------------------------------------------
fix-double-jump 316 2 110 2 PASS
spawn-coin 307 2 110 2 PASS
--------------------------------------------------------------
TOTAL (per task) 311 2 110 2 2/2
vs lovepilot -54.3% -33% -40% - -
Reference Suites Breakdown
platformer(physics simulation + jump logic): -54.3% tokensui_heavy(draw call stress + minimap + HUD): -52.1% tokensmenu_nested(deep 6-level UI entity tree): -53.9% tokens
6. CLI Reference
Run the MCP Proxy
court proxy --port 12345
court proxy --eager # Fallback exposing full upstream tools
Run Benchmarks & CI Regression Gates
# Compare candidate against raw baseline
court bench --suite ./suites/platformer.yaml --compare lovepilot,courtship
# Enforce CI gate (fails if regression exceeds threshold)
court bench --suite ./suites/platformer.yaml --ci --max-regression 10.0
# Submit signed benchmark to community leaderboard
court bench --suite ./suites/platformer.yaml --compare lovepilot,courtship --submit
Launch LOVE Game
court run ./fixtures/platformer
court run ./fixtures/platformer --shim-only
Offline Documentation Index
court docs search "rectangle"
court docs search "love.physics.newWorld"
Environment & Token Tax Audit
court doctor
court doctor --ci
7. Configuration (courtship.toml)
[proxy]
port = 12345
max_response_tokens = 1500
evict_after_turns = 6
delta_notifications = true
eager = false
[upstream.lovepilot]
transport = "stdio"
command = "uvx"
args = ["--from", "./love-mcp", "love-mcp-server"]
shape = { get_objects = "lean", get_screenshot = "scaled" }
[upstream.docs]
transport = "builtin"
index = "./lua54-love12.sqlite"
[bench]
suite_dir = "./suites"
baseline = ".courtship/baseline.json"
max_regression = "10%"
8. License
Dual-licensed under either:
- MIT License (LICENSE-MIT)
- Apache License, Version 2.0 (LICENSE-APACHE)