GodotIQ
The intelligent MCP server for AI-assisted Godot 4 development. 35 tools for spatial intelligence, code understanding, flow tracing, and visual debugging. 22 free, full suite $19.
GodotIQ
The only Godot MCP that understands your game, not just your files.
GodotIQ is a Model Context Protocol (MCP) server for Godot 4.x that gives AI agents (Claude Code, Cursor, Windsurf) spatial intelligence, code understanding, and runtime control. 35 tools across 9 categories — from smart object placement to signal flow tracing to automated UI mapping.
Other Godot MCPs are API wrappers. GodotIQ is an intelligence layer.
What It Does
Before GodotIQ:
Agent: "I'll move this shelf to (2, 0, 0)"
Result: Inside a wall. 10 iterations to fix.
After GodotIQ:
Agent calls placement → knows empty slots, walls, navmesh, nearby objects
Agent calls node_ops(validate=true) → validated placement, first try
Agent calls camera + screenshot → visually confirms result
Done.
Key Capabilities No Other MCP Has
- Spatial Intelligence —
scene_map,placement,spatial_audit. Understands 3D space: distances, walls, navmesh, empty slots, scale consistency - Signal Flow Tracing —
trace_flow. "What happens when the player accepts an order?" → complete chain across 8 files with failure points - Code Understanding —
dependency_graph,signal_map,impact_check. Knows who calls who, what breaks if you change a function - Smart Placement —
placementfinds designer-intended Marker3D slots first (95% confidence), falls back to grid search with constraint solving - Runtime UI Mapping —
ui_map. Maps every button, label, and input with screen positions, text content, touch target validation - Visual Verification —
camera+screenshot(editor viewport). Agent looks at what it changed before moving on - Convention Enforcement —
validatechecks and auto-fixes GDScript conventions after every edit - Project Memory —
project_summary,file_context. Agent re-primes instantly after context compaction
35 Tools in 9 Categories
| Category | Tools | Addon Required |
|---|---|---|
| Bridge (runtime) | screenshot, scene_tree, run, input, node_ops, script_ops, file_ops, exec, state_inspect, perf_snapshot, save_scene, camera, watch, undo_history, nav_query, build_scene, check_errors, verify_motion | YES |
| Spatial (3D intelligence) | scene_map, placement, spatial_audit | Optional |
| Code (analysis) | dependency_graph, signal_map, impact_check, validate | NO |
| Animation | animation_info, animation_audit | NO |
| Flow & Debug | trace_flow | NO |
| Assets | asset_registry, suggest_scale | NO |
| Memory | project_summary, file_context | NO |
| UI | ui_map | YES |
| Navigation | nav_query | YES |
17 tools work from filesystem alone (no Godot running). 18 tools need the lightweight GDScript addon.
Setup
1. Install GodotIQ
Direct install:
pip install godotiq
For AI clients (recommended): No manual install needed. Configure the MCP client to use uvx which auto-installs on first use (see step 3).
2. Install the Godot Addon
godotiq install-addon /path/to/your/godot/project
This copies:
- The GDScript addon files to
<project>/addons/godotiq/ GODOTIQ_RULES.mdto the project root (AI assistant rules for Godot development)
Use --dry-run to preview what will be copied.
Then enable the addon in Godot via Project Settings → Plugins → GodotIQ → Enable.
The addon is pure GDScript (~500 lines, no compilation). It starts a WebSocket server on port 6007 for bidirectional communication with the MCP server.
3. Configure Your AI Client
Create .mcp.json in your Godot project root:
{
"mcpServers": {
"godotiq": {
"command": "uvx",
"args": ["godotiq"],
"env": {
"GODOTIQ_PROJECT_ROOT": "/path/to/your/godot/project"
}
}
}
}
Then launch Claude Code from your project directory:
cd /path/to/your/godot/project
claude
Claude Code reads .mcp.json automatically and connects to GodotIQ with 35 tools available.
4. (Optional) Project Configuration
Create .godotiq.json in your Godot project root for project-specific settings:
{
"version": 2,
"project": {
"name": "My Game",
"engine": "godot_4",
"type": "3d"
},
"disabled_tools": [],
"protected_files": ["project.godot", ".godot/**", "*.import"],
"conventions": {
"class_name_suffix": "Class",
"signal_bus": "Events",
"require_type_hints": true
},
"asset_origins": {
"meshy": {
"path_patterns": ["assets/models/printers/**"],
"default_scale": [0.3, 0.3, 0.3]
}
},
"server": {
"default_detail": "normal",
"screenshot_default_scale": 0.25
}
}
Architecture
godotiq/
├── src/godotiq/
│ ├── server.py # MCP server (FastMCP, stdio transport)
│ ├── config.py # .godotiq.json configuration loader
│ ├── session.py # Project session management
│ ├── parsers/ # .tscn, .gd file parsers (zero external deps)
│ │ ├── tscn_parser.py # Godot scene format parser
│ │ ├── gd_parser.py # GDScript parser (signals, deps, functions)
│ │ ├── scene_resolver.py # Instance expansion, world-space transforms
│ │ └── project_index.py # Full project scan, cross-reference maps
│ ├── cache/ # Hash-based file cache
│ └── tools/ # 9 categories, 35 tools
│ ├── bridge/ # Runtime: screenshot, run, input, node_ops, exec...
│ ├── spatial/ # scene_map, placement, spatial_audit
│ ├── code/ # dependency_graph, signal_map, impact_check, validate
│ ├── animation/ # animation_info, animation_audit
│ ├── flow/ # trace_flow
│ ├── assets/ # asset_registry, suggest_scale
│ ├── memory/ # project_summary, file_context
│ ├── ui/ # ui_map
│ └── navigation/ # nav_query
├── godot-addon/
│ └── addons/godotiq/
│ ├── plugin.cfg
│ ├── godotiq_plugin.gd # EditorPlugin entry point
│ ├── godotiq_server.gd # WebSocket server (editor-side)
│ ├── godotiq_runtime.gd # Autoload (game-side, screenshots + input)
│ └── godotiq_debugger.gd # EditorDebuggerPlugin (error capture)
├── tests/ # 1100+ automated tests
│ ├── fixtures/ # Real .tscn/.gd files from Godot projects
│ └── test_*/ # Test suites per category
└── .godotiq.json # Example project configuration
Communication Stack
AI Agent ←(stdio)→ Python MCP Server ←(WebSocket:6007)→ GDScript Addon in Godot Editor
(intelligence layer) (runtime bridge)
↕
EngineDebugger (IPC)
↕
Running Game (autoload)
- Python → Editor: WebSocket for bidirectional real-time communication
- Editor → Game: EngineDebugger native IPC for screenshots, input simulation, state inspection
- Intelligence layer: All parsing, spatial reasoning, dependency analysis, convention validation runs in Python — works without Godot open
Three-Layer Parser Architecture
- Layer 1 — Raw Parser: Reads single .tscn/.gd file, extracts structure
- Layer 2 — Scene Resolver: Expands instances recursively, calculates world-space transforms
- Layer 3 — Project Index: Scans all files, builds cross-reference maps (signal wiring, autoloads, asset usage)
Token Optimization
Every tool accepts detail: "brief" | "normal" | "full":
- brief → 5-15 lines, key facts only. Use for routine checks.
- normal → Default. Structured data for most operations.
- full → Complete dump with metadata. Use for deep debugging.
This cuts response sizes 50-80% for routine operations, saving context window space.
Development
# Run all tests
pytest tests/ -v
# Run specific category
pytest tests/test_tools/ -v
pytest tests/test_parsers/ -v
# Run with coverage
pytest tests/ --cov=godotiq -v
Test Stats
- 1100+ automated tests
- Real .tscn/.gd fixtures from production Godot projects
- Parser tests, tool tests, integration tests, config tests
Comparison
| Capability | GodotIQ (35 tools) | GDAI (27 tools, $20) | tomyud1 (32 tools, free) |
|---|---|---|---|
| Spatial intelligence | ✅ scene_map + placement + validation | ❌ | ❌ |
| Signal flow tracing | ✅ trace_flow | ❌ | ❌ |
| Code understanding | ✅ deps + signals + impact | ❌ | ❌ |
| Convention validation | ✅ auto-fix | ❌ | ❌ |
| Project memory | ✅ survives compaction | ❌ | ❌ |
| UI mapping | ✅ ui_map | ❌ | ❌ |
| Visual verification | ✅ camera + editor screenshot | ❌ (editor screenshot only) | ❌ |
| Token optimization | ✅ 3 detail levels | ❌ | ❌ |
| Works without addon | ✅ 17 tools | ❌ | ❌ |
| Open source | ✅ | ❌ (C++ binary) | ✅ |
| Telemetry | Zero | PostHog | Zero |
| Automated tests | 1100+ | Unknown | 0 |
License
MIT
Related Servers
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Assistant MCP Server
An MCP server that dynamically loads tools from an external JSON file configured via an environment variable.
WordPress MCP Server
Interact with WordPress sites via the REST API. Manage content, posts, and site configurations for multiple sites using natural language.
Chrome DevTools MCP Server
An MCP server for AI-assisted frontend development using Chrome DevTools. Requires Google Chrome.
Detrix
Agentic debugger
Sleep MCP Server
Provides a sleep/wait tool to add delays between operations, such as waiting between API calls or testing eventually consistent systems.
cli-mcp
A command-line interface (CLI) client for calling tools from local and remote MCP servers.
MCP Server Pentest
Automated browser penetration testing to detect XSS and SQL vulnerabilities.
Omilia MCP Tools
A set of tools for managing miniapps, orchestrator apps, and dialog logs on the Omilia Cloud Platform (OCP).
FileScopeMCP
Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores per file, helping AI assistants understand the codebase. Automatically parses popular programming languages, Python, Lua, C, C++, Rust, Zig.
OpenZeppelin MCP Servers
Model Context Protocol Servers Repository for OpenZeppelin Products