* deps: add tomli>=2.3.0 dependency to UnityMcpServer package * feat: dynamically fetch package version from pyproject.toml for telemetry * Add pydantic * feat: add resource registry for MCP resource auto-discovery * feat: add telemetry decorator for tracking MCP resource usage * feat: add auto-discovery and registration system for MCP resources * feat: add resource registration to MCP server initialization * feat: add MCPResponse model class for standardized API responses * refactor: replace Debug.Log calls with McpLog wrapper for consistent logging * feat: add test discovery endpoints for Unity Test Framework integration We haven't connected them as yet, still thinking about how to do this neatly * Fix server setup * refactor: reduce log verbosity by changing individual resource/tool registration logs to debug level * chore: bump mcp[cli] dependency from 1.15.0 to 1.17.0 * refactor: remove Context parameter and add uri keyword argument in resource decorator The Context parameter doesn't work on our version of FastMCP * chore: upgrade Python base image to 3.13 and simplify Dockerfile setup * fix: apply telemetry decorator before mcp.tool to ensure proper wrapping order * fix: swap order of telemetry and resource decorators to properly wrap handlers * fix: update log prefixes for consistency in logging methods * Fix compile errors * feat: extend command registry to support both tools and resources * Run get tests as a coroutine because it doesn't return results immediately This works but it spams logs like crazy, maybe there's a better/simpler way * refactor: migrate from coroutines to async/await for test retrieval and command execution * feat: add optional error field to MCPResponse model * Increased timeout because loading tests can take some time * Make message optional so error responses that only have success and error don't cause Pydantic errors * Set max_retries to 5 This connection module needs a lookover. The retries should be an exponential backoff and we could structure why it's failing so much * Use pydantic model to structure the error output * fix: initialize data field in GetTestsResponse to avoid potential errors * Don't return path parameter * feat: add Unity test runner execution with structured results and Python bindings * refactor: simplify GetTests by removing mode filtering and related parsing logic * refactor: move test runner functionality into dedicated service interface * feat: add resource retrieval telemetry tracking with new record type and helper function * fix: convert tool functions to async and await ctx.info calls * refactor: reorganize menu item functionality into separate execute and get commands An MCP resource for retrieval, and a simple command to execute. Because it's a resource, it's easier for the user to see what's in the menu items * refactor: rename manage_menu_item to execute_menu_item and update tool examples to use async/await We'll eventually put a section for resources * Revert "fix: convert tool functions to async and await ctx.info calls" This reverts commit 012ea6b7439bd1f2593864d98d03d9d95d7bdd03. * fix: replace tomllib with tomli for Python 3.10 compatibility in telemetry module * Remove confusing comment * refactor: improve error handling and simplify test retrieval logic in GetTests commands * No cache by default * docs: remove redundant comment for HandleCommand method in ExecuteMenuItem |
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| Runtime | ||
| UnityMcpServer~/src | ||
| Editor.meta | ||
| README.md | ||
| README.md.meta | ||
| Runtime.meta | ||
| package.json | ||
| package.json.meta | ||
README.md
MCP for Unity — Editor Plugin Guide
Use this guide to configure and run MCP for Unity inside the Unity Editor. Installation is covered elsewhere; this document focuses on the Editor window, client configuration, and troubleshooting.
Open the window
- Unity menu: Window > MCP for Unity
The window has four areas: Server Status, Unity Bridge, MCP Client Configuration, and Script Validation.
Quick start
- Open Window > MCP for Unity.
- Click “Auto-Setup”.
- If prompted:
- Select the server folder that contains
server.py(UnityMcpServer~/src). - Install Python and/or uv if missing.
- For Claude Code, ensure the
claudeCLI is installed.
- Select the server folder that contains
- Click “Start Bridge” if the Unity Bridge shows “Stopped”.
- Use your MCP client (Cursor, VS Code, Windsurf, Claude Code) to connect.
Server Status
- Status dot and label:
- Installed / Installed (Embedded) / Not Installed.
- Mode and ports:
- Mode: Auto or Standard.
- Ports: Unity (varies; shown in UI), MCP 6500.
- Actions:
- Auto-Setup: Registers/updates your selected MCP client(s), ensures bridge connectivity. Shows “Connected ✓” after success.
- Rebuild MCP Server: Rebuilds the Python based MCP server
- Select server folder…: Choose the folder containing
server.py. - Verify again: Re-checks server presence.
- If Python isn’t detected, use “Open Install Instructions”.
Unity Bridge
- Shows Running or Stopped with a status dot.
- Start/Stop Bridge button toggles the Unity bridge process used by MCP clients to talk to Unity.
- Tip: After Auto-Setup, the bridge may auto-start in Auto mode.
MCP Client Configuration
- Select Client: Choose your target MCP client (e.g., Cursor, VS Code, Windsurf, Claude Code).
- Per-client actions:
- Cursor / VS Code / Windsurf:
- Auto Configure: Writes/updates your config to launch the server via uv:
- Command: uv
- Args: run --directory server.py
- Manual Setup: Opens a window with a pre-filled JSON snippet to copy/paste into your client config.
- Choose
uvInstall Location: If uv isn’t on PATH, select the uv binary. - A compact “Config:” line shows the resolved config file name once uv/server are detected.
- Auto Configure: Writes/updates your config to launch the server via uv:
- Claude Code:
- Register with Claude Code / Unregister MCP for Unity with Claude Code.
- If the CLI isn’t found, click “Choose Claude Install Location”.
- The window displays the resolved Claude CLI path when detected.
- Cursor / VS Code / Windsurf:
Notes:
- The UI shows a status dot and a short status text (e.g., “Configured”, “uv Not Found”, “Claude Not Found”).
- Use “Auto Configure” for one-click setup; use “Manual Setup” when you prefer to review/copy config.
Script Validation
- Validation Level options:
- Basic — Only syntax checks
- Standard — Syntax + Unity practices
- Comprehensive — All checks + semantic analysis
- Strict — Full semantic validation (requires Roslyn)
- Pick a level based on your project’s needs. A description is shown under the dropdown.
Troubleshooting
- Python or
uvnot found: - Claude CLI not found:
Tips
- Enable “Show Debug Logs” in the header for more details in the Console when diagnosing issues.