feat: Introduce CreatePrefabTool across Unity and Node pipelines

[CoderGamester]

Summary of Changes

This pull request adds comprehensive support for automated prefab creation via MCP:

1. Unity Editor (C#)

   • Added Editor/Tools/CreatePrefabTool.cs – implements the CreatePrefabTool for in-editor prefab generation and registration.
   • Registered the new tool in McpUnityServer.cs.

2. MCP Node Server (TypeScript)

   • Added Server~/src/tools/createPrefabTool.ts – MCP bridge wrapper calling the Unity side tool.
   • Registered the tool and integrated workflow prompt updates in index.ts and gameobjectHandlingPrompt.ts.

3. Prompt & Documentation

   • Added prefabCreationPrompt guiding LLM workflows.
   • Updated all README variants (README.md, README_zh-CN.md, README-ja.md) with usage instructions and examples.

4. Tests & Stories

   • Added Play-mode test scripts verifying prefab creation.
   • Added story documentation for the new workflow.

5. Housekeeping

   • Misc. cleanup of obsolete assets and consistent registration patterns.

Impact

Provides an end-to-end prefab creation capability accessible to AI agents via MCP, improving scene automation workflows.

---

Auto-generated by Cascade AI assistant.

---

🛠️ This PR introduces a comprehensive CreatePrefabTool that enables automated prefab creation across both Unity Editor and Node.js MCP server pipelines. The implementation allows AI agents to create Unity prefabs with optional MonoBehaviour scripts and serialized field values through MCP protocol communication.

🔍 Detailed Analysis

Key Changes

• Unity Editor Implementation: Added CreatePrefabTool.cs with complete prefab creation logic, component attachment, field value serialization, and asset database management
• MCP Server Integration: Implemented TypeScript wrapper createPrefabTool.ts with parameter validation, error handling, and Unity communication bridge
• Documentation & Prompts: Updated all README variants (EN/CN/JP) and added workflow prompts to guide AI agent interactions
• Registration & Testing: Registered the tool in both Unity and Node servers, added test scripts and story documentation

Technical Implementation

sequenceDiagram
    participant AI as AI Agent
    participant MCP as MCP Server
    participant Unity as Unity Editor
    participant Asset as Asset Database
    
    AI->>MCP: create_prefab request
    MCP->>MCP: Validate parameters
    MCP->>Unity: Forward tool execution
    Unity->>Unity: Create GameObject
    Unity->>Unity: Add MonoBehaviour component
    Unity->>Unity: Apply field values
    Unity->>Asset: Save as prefab asset
    Unity->>Asset: Refresh database
    Unity->>MCP: Return success response
    MCP->>AI: Formatted response with prefab path

Loading

Impact

• Workflow Automation: Enables AI agents to programmatically create Unity prefabs without manual intervention
• Component Integration: Supports automatic MonoBehaviour script attachment with configurable serialized field values
• Asset Management: Handles prefab naming conflicts and ensures proper asset database integration
• Cross-Platform Support: Provides consistent API across Unity Editor (C#) and MCP server (TypeScript) environments

Created with Palmier

[coderabbitai]

Important

Review skipped

Auto reviews are disabled on this repository.

Please check the settings in the CodeRabbit UI or the .coderabbit.yaml file in this repository. To trigger a single review, invoke the @coderabbitai review command.

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.

✨ Finishing Touches

🧪 Generate unit tests

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch feature/create-prefab-tool

---

Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share

• X
• Mastodon
• Reddit
• LinkedIn

🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

• Review comments: Directly reply to a review comment made by CodeRabbit. Example:
  • I pushed a fix in commit <commit_id>, please review it.
  • Explain this complex logic.
  • Open a follow-up GitHub issue for this discussion.
• Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
  • @coderabbitai explain this code block.
• PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
  • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
  • @coderabbitai read src/utils.ts and explain its main purpose.
  • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.

Support

Need help? Create a ticket on our support page for assistance with any issues or questions.

CodeRabbit Commands (Invoked using PR comments)

• @coderabbitai pause to pause the reviews on a PR.
• @coderabbitai resume to resume the paused reviews.
• @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
• @coderabbitai full review to do a full review from scratch and review all the files again.
• @coderabbitai summary to regenerate the summary of the PR.
• @coderabbitai generate docstrings to generate docstrings for this PR.
• @coderabbitai generate sequence diagram to generate a sequence diagram of the changes in this PR.
• @coderabbitai generate unit tests to generate unit tests for this PR.
• @coderabbitai resolve resolve all the CodeRabbit review comments.
• @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
• @coderabbitai help to get help.

Other keywords and placeholders

• Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
• Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
• Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

• You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
• Please see the configuration documentation for more information.
• If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

• Visit our Documentation for detailed information on how to use CodeRabbit.
• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.