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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:

  1. Open MCP > Setup Wizard in Unity.
  2. Select Rider AI Assistant to confirm the prerequisite.
  3. In Rider, open Settings > Tools > AI Assistant > Model Context Protocol (MCP).
  4. 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"
      ]
    }
  }
}
  1. 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