{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-unity3d-game-engine","slug":"unity3d-game-engine","name":"Unity3d Game Engine","type":"mcp","url":"https://github.com/CoderGamester/mcp-unity","page_url":"https://unfragile.ai/unity3d-game-engine","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-unity3d-game-engine__cap_0","uri":"capability://tool.use.integration.ai.driven.unity.editor.menu.item.execution.via.mcp.protocol","name":"ai-driven unity editor menu item execution via mcp protocol","description":"Enables AI assistants to execute Unity Editor menu items (File, Edit, Assets, etc.) by translating natural language requests into JSON-RPC calls through a Node.js MCP server that relays commands via WebSocket to the Unity McpUnitySocketHandler, which dispatches them to the EditorApplication.ExecuteMenuItem API. This allows AI agents to trigger built-in editor workflows without direct UI interaction.","intents":["I want Claude to execute File > Build Settings without me clicking through the UI","Let an AI agent automate repetitive menu-driven workflows like scene saving or asset importing","Enable AI to trigger editor-only operations that aren't exposed via scripting APIs"],"best_for":["Game developers using Claude, Windsurf, or Cursor as coding assistants","Teams automating editor-heavy workflows with AI agents","Developers building custom editor extensions that need AI orchestration"],"limitations":["Only works with menu items exposed in EditorApplication.ExecuteMenuItem — custom context menus not supported","No feedback on menu item execution success/failure beyond exception handling","Synchronous execution blocks the editor UI during long-running menu operations","Cannot pass parameters to menu items — only binary trigger capability"],"requires":["Unity Editor running with MCP Unity package installed","Node.js MCP server running and connected via WebSocket","AI client configured with MCP server endpoint (Claude, Windsurf, Cursor)"],"input_types":["menu item path as string (e.g., 'File/Save Scene')","natural language request from AI assistant"],"output_types":["boolean success/failure","exception message on error"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unity3d-game-engine__cap_1","uri":"capability://memory.knowledge.hierarchical.scene.graph.querying.and.gameobject.selection","name":"hierarchical scene graph querying and gameobject selection","description":"Provides AI assistants with read-only access to the complete scene hierarchy via MCP resources that serialize the Transform tree structure, enabling agents to query GameObject names, parent-child relationships, and active states. The McpUnitySocketHandler exposes scene data as JSON-RPC resources that can be filtered by name, tag, or layer, allowing AI to understand spatial relationships and select specific GameObjects for subsequent operations.","intents":["I need Claude to find all child GameObjects under a specific parent and report their names","Let an AI agent understand the scene structure before deciding which GameObjects to modify","Enable AI to select a GameObject by name so it can inspect or modify its components"],"best_for":["AI-assisted level design and scene organization","Automated GameObject discovery and inspection workflows","Developers building AI agents that need scene context before making edits"],"limitations":["Read-only access — cannot modify hierarchy structure through this capability alone","Large scenes (10k+ GameObjects) may cause performance degradation due to full tree serialization","No real-time updates — hierarchy snapshot is taken at query time, not streamed","Cannot query inactive GameObjects by default — requires separate filtering logic"],"requires":["Active Unity scene loaded in editor","MCP Unity package with scene resource handlers enabled","Node.js MCP server with getSceneHierarchy resource registered"],"input_types":["filter criteria (GameObject name, tag, layer)","parent GameObject reference"],"output_types":["JSON tree structure with GameObject metadata","array of GameObject identifiers and properties"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unity3d-game-engine__cap_10","uri":"capability://automation.workflow.docker.based.deployment.and.containerized.mcp.server.hosting","name":"docker-based deployment and containerized mcp server hosting","description":"Provides Docker configuration and deployment scripts that containerize the Node.js MCP server, enabling AI-Unity integration to run in isolated environments without local Node.js installation. The Dockerfile packages the MCP server with dependencies and exposes the WebSocket port, allowing deployment to cloud environments or CI/CD pipelines with consistent runtime behavior.","intents":["I want to deploy the MCP server to a cloud environment so multiple team members can connect","Let me run the MCP server in a Docker container without installing Node.js locally","Enable CI/CD pipelines to run automated Unity operations using the containerized MCP server"],"best_for":["Teams deploying MCP server to cloud or shared infrastructure","CI/CD pipelines that need isolated MCP server instances","Developers building containerized AI-Unity workflows"],"limitations":["Docker container cannot directly access local Unity Editor — requires network connection to separate editor instance","Container networking requires careful port mapping and firewall configuration","No persistent state across container restarts — logs and temporary data are lost","Docker image size may be large (500MB+) due to Node.js dependencies"],"requires":["Docker installed and running","Docker Compose (optional, for multi-container setups)","Network connectivity between container and Unity Editor"],"input_types":["Dockerfile configuration","environment variables for server port and settings"],"output_types":["running Docker container with MCP server","exposed WebSocket port for AI client connections"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unity3d-game-engine__cap_11","uri":"capability://tool.use.integration.extensible.tool.and.resource.handler.architecture.for.custom.capabilities","name":"extensible tool and resource handler architecture for custom capabilities","description":"Implements a plugin-style architecture where new MCP tools and resources can be added by extending base handler classes and registering them with the tool/resource registry. The McpTools and McpResources base classes provide standard interfaces for tool execution and resource querying, allowing developers to add custom Unity operations without modifying core MCP server code.","intents":["I want to add a custom tool that exports the scene to a specific format without modifying the core MCP server","Let me create a new resource that queries custom project metadata and exposes it to AI","Enable teams to extend MCP capabilities with domain-specific tools for their game development workflow"],"best_for":["Teams building custom AI-Unity integrations with domain-specific tools","Developers extending MCP server with project-specific capabilities","Studios with specialized game development workflows"],"limitations":["Handler development requires TypeScript/JavaScript knowledge — no visual tool builder","No hot-reload for new handlers — server restart required to register new tools","Handler errors can crash the MCP server if not properly caught","No built-in testing framework — developers must write their own handler tests"],"requires":["Node.js MCP server source code","TypeScript or JavaScript development environment","Understanding of MCP protocol and handler interface"],"input_types":["handler class extending McpTool or McpResource","tool/resource metadata (name, description, schema)"],"output_types":["registered tool/resource available in MCP registry","tool execution results or resource data"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unity3d-game-engine__cap_2","uri":"capability://memory.knowledge.component.inspection.and.property.serialization","name":"component inspection and property serialization","description":"Allows AI assistants to inspect all components attached to a selected GameObject and read their serialized properties (Transform position, Rigidbody mass, Collider bounds, etc.) through MCP resources that reflect the component hierarchy. The McpUnitySocketHandler serializes component data to JSON, exposing public fields, properties, and metadata that enable AI to understand the GameObject's behavior and make informed modification decisions.","intents":["I want Claude to check if a GameObject has a Rigidbody and report its mass and drag settings","Let an AI agent read all script component properties before deciding what to modify","Enable AI to understand a GameObject's complete configuration before suggesting changes"],"best_for":["AI-assisted game object configuration and debugging","Automated component discovery and validation workflows","Developers building AI agents that need to inspect before modifying"],"limitations":["Only serializable properties are exposed — private fields and non-serializable types are hidden","Custom component types require reflection setup; not all third-party components may serialize correctly","No real-time property updates — snapshot taken at query time","Large component hierarchies (50+ components) may cause serialization overhead"],"requires":["GameObject selected in Unity editor","MCP Unity package with component reflection handlers","Node.js MCP server with getGameObjectComponents resource"],"input_types":["GameObject identifier","optional component type filter (e.g., 'Rigidbody', 'Collider')"],"output_types":["JSON object with component type and serialized properties","array of component metadata with field names and values"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unity3d-game-engine__cap_3","uri":"capability://tool.use.integration.ai.driven.gameobject.and.component.creation.with.property.initialization","name":"ai-driven gameobject and component creation with property initialization","description":"Enables AI assistants to create new GameObjects and attach components with specified properties by translating natural language requests into JSON-RPC tool calls that invoke Unity's Instantiate and AddComponent APIs. The McpUnitySocketHandler processes tool requests to create GameObjects with initial Transform values, add components like Rigidbody or Collider, and set their properties in a single atomic operation, allowing AI to build scene content programmatically.","intents":["I want Claude to create a new GameObject with a Rigidbody and set its mass to 5","Let an AI agent spawn enemy prefabs at specific positions with configured components","Enable AI to build scene structure by creating GameObjects and configuring them in one step"],"best_for":["AI-assisted level design and rapid prototyping","Automated scene generation workflows","Developers building AI agents that need to create and configure game objects"],"limitations":["Cannot create complex nested hierarchies in a single call — requires multiple sequential operations","Property initialization limited to serializable types — complex object references require post-creation setup","No undo/redo integration — created objects cannot be undone through standard editor undo","Prefab instantiation requires prefab path as string; no asset database search capability"],"requires":["Active Unity scene in editor","MCP Unity package with GameObject creation tools enabled","Node.js MCP server with createGameObject and addComponent tools registered"],"input_types":["GameObject name (string)","component type names (string array)","property key-value pairs (JSON object)","optional parent GameObject reference"],"output_types":["created GameObject identifier","component references with initialized property values"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unity3d-game-engine__cap_4","uri":"capability://memory.knowledge.real.time.console.log.streaming.and.filtering","name":"real-time console log streaming and filtering","description":"Provides AI assistants with access to Unity Editor console output through MCP resources that stream or snapshot debug logs, warnings, and errors with timestamps and stack traces. The getConsoleLogResource handler captures logs from Unity's Debug.Log system and exposes them as queryable JSON, allowing AI to monitor build errors, runtime warnings, and script execution feedback without parsing console UI.","intents":["I want Claude to check the console for compilation errors after I modify a script","Let an AI agent monitor for runtime errors and suggest fixes based on stack traces","Enable AI to validate that a scene change didn't introduce new warnings or errors"],"best_for":["AI-assisted debugging and error diagnosis","Automated build validation workflows","Developers building AI agents that need to monitor editor state"],"limitations":["Console logs are buffered in memory — very large log volumes (10k+ entries) may cause memory pressure","No persistent log storage — logs are cleared when editor restarts","Stack trace parsing is basic — complex nested exceptions may not serialize cleanly","Real-time streaming requires polling or WebSocket push; no native event subscription"],"requires":["Unity Editor running with MCP Unity package","Node.js MCP server with getConsoleLogResource handler","AI client configured to poll or subscribe to console resource"],"input_types":["optional log level filter (Debug, Warning, Error)","optional timestamp range","optional search text for filtering"],"output_types":["JSON array of log entries with timestamp, level, message, and stack trace","filtered log snapshot"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unity3d-game-engine__cap_5","uri":"capability://search.retrieval.asset.database.querying.and.prefab.script.discovery","name":"asset database querying and prefab/script discovery","description":"Enables AI assistants to search the Unity asset database for prefabs, scripts, scenes, and other assets by name or type through MCP resources that query the AssetDatabase API. The McpUnitySocketHandler exposes asset metadata (path, type, GUID) as JSON, allowing AI to discover available resources before referencing them in creation or modification operations.","intents":["I want Claude to find all prefabs in the Assets/Prefabs folder","Let an AI agent discover available scripts before deciding which components to attach","Enable AI to locate a specific scene file by name before loading it"],"best_for":["AI-assisted asset management and discovery","Automated prefab instantiation workflows","Developers building AI agents that need to reference project assets"],"limitations":["Asset database queries are synchronous and block the editor during large searches","No full-text search — only path and type-based filtering supported","Asset metadata is limited to path, type, and GUID — custom asset properties not exposed","Changes to asset database are not reflected in real-time; requires refresh"],"requires":["Unity project with assets imported","MCP Unity package with asset database handlers","Node.js MCP server with searchAssets or getAssetsByType tools"],"input_types":["asset name or path pattern (string)","asset type filter (e.g., 'Prefab', 'MonoScript', 'Scene')","optional folder path to limit search scope"],"output_types":["JSON array of asset metadata (path, type, GUID)","filtered asset list"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unity3d-game-engine__cap_6","uri":"capability://tool.use.integration.package.management.and.dependency.installation.via.mcp","name":"package management and dependency installation via mcp","description":"Allows AI assistants to query installed packages, add new packages from the Unity Package Manager, and manage package versions through MCP tools that invoke the Package Manager API. The McpUnitySocketHandler translates natural language requests into package manager commands, enabling AI to resolve dependencies and update project configurations without manual UI interaction.","intents":["I want Claude to check if TextMesh Pro is installed and add it if missing","Let an AI agent install a specific version of a package to fix compatibility issues","Enable AI to query available packages and suggest dependencies for a feature"],"best_for":["AI-assisted project setup and dependency management","Automated environment configuration workflows","Developers building AI agents that need to manage project dependencies"],"limitations":["Package installation is asynchronous — requires polling for completion status","No support for local package paths or git URLs — only registry packages","Version resolution conflicts are not automatically resolved — AI must handle version negotiation","Package removal is not supported — only add/update operations"],"requires":["Unity Editor with Package Manager enabled","MCP Unity package with package manager handlers","Node.js MCP server with getInstalledPackages and addPackage tools"],"input_types":["package name (string)","optional version specifier (e.g., '1.0.0', '^1.0.0')","optional package source (registry, git, local)"],"output_types":["JSON array of installed packages with versions","installation status and completion confirmation"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unity3d-game-engine__cap_7","uri":"capability://tool.use.integration.websocket.based.bidirectional.communication.between.ai.client.and.unity.editor","name":"websocket-based bidirectional communication between ai client and unity editor","description":"Implements a persistent WebSocket connection between the Node.js MCP server and the Unity McpUnitySocketHandler, enabling bidirectional JSON-RPC message exchange with request/response correlation and error handling. The communication protocol uses message IDs to match responses to requests, allowing multiple concurrent operations and maintaining session state across multiple AI interactions.","intents":["I need a persistent connection between Claude and Unity so I can execute multiple commands in sequence","Let an AI agent send commands to Unity and receive structured responses without connection overhead","Enable real-time feedback from Unity operations back to the AI assistant"],"best_for":["Multi-step AI workflows that require persistent editor state","Real-time AI-assisted game development with immediate feedback","Teams building custom AI agents with deep Unity integration"],"limitations":["WebSocket connection is not encrypted by default — requires TLS/WSS for production use","No automatic reconnection on network failure — requires client-side retry logic","Message ordering is not guaranteed for concurrent requests — AI must handle out-of-order responses","Large message payloads (>10MB) may cause memory issues in the editor"],"requires":["Node.js MCP server running (typically localhost:3000 or configurable port)","Unity Editor with McpUnityServer component active","Network connectivity between AI client and Node.js server"],"input_types":["JSON-RPC request objects with method, params, and id fields","tool invocation requests","resource query requests"],"output_types":["JSON-RPC response objects with result or error fields","tool execution results","resource data snapshots"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unity3d-game-engine__cap_8","uri":"capability://tool.use.integration.mcp.tool.and.resource.registry.with.dynamic.capability.exposure","name":"mcp tool and resource registry with dynamic capability exposure","description":"Maintains a registry of available MCP tools and resources that are dynamically exposed to AI clients through the MCP protocol's tools/resources listing endpoints. The Node.js server registers tool handlers (execute_menu_item, createGameObject, etc.) and resource handlers (getSceneHierarchy, getConsoleLog, etc.) with JSON schemas that describe parameters and return types, allowing AI clients to discover and invoke capabilities without hardcoded knowledge.","intents":["I want Claude to know what operations are available in the Unity project without me telling it","Let an AI agent discover new tools as they're added to the MCP server without client updates","Enable AI to validate that parameters match expected types before invoking tools"],"best_for":["Extensible AI-Unity integrations where new tools are added frequently","Teams building custom MCP servers with dynamic capability discovery","Developers building AI agents that need to adapt to available tools"],"limitations":["Tool schemas are static — cannot express conditional parameters or complex validation rules","No versioning mechanism — breaking changes to tool signatures require client updates","Registry is in-memory only — no persistence across server restarts","Tool discovery is synchronous — large registries (100+ tools) may cause latency"],"requires":["Node.js MCP server with tool/resource registry implementation","AI client that supports MCP protocol (Claude, Windsurf, Cursor)","JSON schema definitions for each tool and resource"],"input_types":["tool/resource metadata (name, description, schema)","handler function references"],"output_types":["JSON array of available tools with schemas","JSON array of available resources with schemas"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-unity3d-game-engine__cap_9","uri":"capability://memory.knowledge.editor.settings.persistence.and.ai.client.configuration.management","name":"editor settings persistence and ai client configuration management","description":"Stores MCP Unity configuration (server port, WebSocket settings, enabled tools) in Unity Editor preferences and exposes settings as MCP resources that AI clients can query and modify. The McpUnitySettings class persists configuration across editor sessions, allowing AI to adapt its behavior based on project-specific settings without requiring manual configuration.","intents":["I want Claude to know which tools are enabled in this project's MCP configuration","Let an AI agent adjust server settings (port, timeout) without restarting the editor","Enable AI to discover project-specific tool restrictions or custom configurations"],"best_for":["Teams with project-specific MCP configurations","Developers building AI agents that need to adapt to editor settings","Multi-project workflows where different projects have different tool availability"],"limitations":["Settings are stored in EditorPrefs — limited to string/int/float types; complex objects require JSON serialization","No settings validation — invalid values are stored without error checking","Settings changes require editor restart to take effect for some options","No settings versioning — breaking changes to configuration format require migration logic"],"requires":["Unity Editor with MCP Unity package","McpUnitySettings component configured","Node.js MCP server with getEditorSettings resource"],"input_types":["setting key (string)","setting value (string, int, or float)","optional setting category"],"output_types":["JSON object with all editor settings","individual setting values"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["Unity Editor running with MCP Unity package installed","Node.js MCP server running and connected via WebSocket","AI client configured with MCP server endpoint (Claude, Windsurf, Cursor)","Active Unity scene loaded in editor","MCP Unity package with scene resource handlers enabled","Node.js MCP server with getSceneHierarchy resource registered","Docker installed and running","Docker Compose (optional, for multi-container setups)","Network connectivity between container and Unity Editor","Node.js MCP server source code"],"failure_modes":["Only works with menu items exposed in EditorApplication.ExecuteMenuItem — custom context menus not supported","No feedback on menu item execution success/failure beyond exception handling","Synchronous execution blocks the editor UI during long-running menu operations","Cannot pass parameters to menu items — only binary trigger capability","Read-only access — cannot modify hierarchy structure through this capability alone","Large scenes (10k+ GameObjects) may cause performance degradation due to full tree serialization","No real-time updates — hierarchy snapshot is taken at query time, not streamed","Cannot query inactive GameObjects by default — requires separate filtering logic","Docker container cannot directly access local Unity Editor — requires network connection to separate editor instance","Container networking requires careful port mapping and firewall configuration","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.34,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.050Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=unity3d-game-engine","compare_url":"https://unfragile.ai/compare?artifact=unity3d-game-engine"}},"signature":"tlrm3ksDnTj9f7nW5XlHKxgIBPa/yr2oSIhvLz7+Ya2jPSMF38jo1VgYY1UziyHcZd/yCbB3mQ7lZ/Qd6USRAw==","signedAt":"2026-06-21T15:27:37.519Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/unity3d-game-engine","artifact":"https://unfragile.ai/unity3d-game-engine","verify":"https://unfragile.ai/api/v1/verify?slug=unity3d-game-engine","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}