Rider AI Assistant¶
Prerequisite: complete the Unity package installation.
Configure¶
Rider uses its Settings UI rather than a generated project file. The current JetBrains AI Assistant expects an mcpServers JSON object:
- Open MCP > Setup Wizard in Unity.
- Select Rider AI Assistant to confirm the prerequisite.
- In Rider, open Settings > Tools > AI Assistant > Model Context Protocol (MCP).
- Select +, choose the STDIO JSON configuration, and paste:
{
"mcpServers": {
"unity-biome-mcp": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/german-krasnikov/unity-biome-mcp.git#subdirectory=server",
"unity-biome-mcp"
]
}
}
}
- Select OK, then Apply. Rider starts the server and shows its status.
Keep the Unity project open while using the server. The configuration is owned by Rider; Unity Biome MCP does not generate a Rider JSON or TOML file.
See the JetBrains MCP configuration guide for Rider-specific controls and logs.
Troubleshooting¶
| Symptom | Action |
|---|---|
| Configuration is rejected | Paste the complete mcpServers object, not a shell command |
| Server does not start | Confirm uvx is available to Rider's environment |
| Tools cannot reach Unity | Keep Unity open and run connection diagnostics |