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ComeCaramelos /

ComeCaramelos/dsh-unity-mcp

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Connects DSH to the Unity MCP server

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@comecaramelos/dsh-unity-mcp

Connects DSH to the Unity MCP server — the unity-ai-relay executable the Unity AI Assistant package (com.unity.ai.assistant) installs — through the stock @deepseek-ai/dsh-mcp-client stdio bridge, plus a settings/status card in the Web GUI.

Every tool the relay registers is exposed as a normal mcp__unity__* tool.

Install

dsh plugin --profile web add @comecaramelos/dsh-unity-mcp

The plugin does not download anything: it launches the unity-ai-relay executable your Unity Editor installed. Install the Unity AI Assistant package first, and keep a Unity Editor running — the relay is the Editor's side-channel, so an Editor that is not running answers No Unity Editor connected.

Configuration

Settings live under Settings → Plugins → Plugin configuration → DSH Unity MCP.

  • Unity relay executable — the executable the bridge launches. Open the picker, hit Fetch executables to search this machine (the search also walks every Windows user profile visible from a WSL host), and pick one. The pick is remembered; applying a different one restarts the connection.
  • Extra flags — one flag per row, appended after the --mcp mode flag the bridge always passes, for example --project-path=/home/roberto/game, --name=MyProject, --log-level=debug.
  • Reduce log output — keeps the relay's own progress lines out of the DSH console by redirecting its stderr into a log file (turn it off to debug the raw output).

Nothing is picked for you: what the saved rows list is what you can pick, and a path you picked stays picked — if it later stops running it reads broken, it is never silently re-resolved.

Windows relay from WSL

A Windows relay launched through the WSL interop mount works like a native one: it speaks MCP over stdio, so nothing about the connection changes. The card says so when that is what is running, and reminds you to keep the relay's arguments (--log-dir, and --project-path when you pin a project) in their Windows spelling — the relay resolves them on the Windows side.

Row configuration

For a per-profile pin, edit the plugin row's config:

Key Default Meaning
serverName unity the bridge's server namespace (tool names are mcp__<serverName>__<tool>)
relayPath "" the executable to launch when the card has never picked one
relayPaths the platform's relay locations the candidate list the Search executables run probes
extraFlags [] flags appended after the --mcp mode flag
command "" a launcher prefix to wrap the spawn with (the relay needs no wrapper)
env / cwd {} / "" passed through to the bridge
toolCallTimeoutMs 60000 per-tool-call timeout
failOnStartupError false fail the load when the bridge cannot start
reconnect { enabled: true, initialDelayMs: 500, maxDelayMs: 30000, maxAttempts: 10 } reconnect policy
bridgeStderr "log" console-output routing: "log" captures stderr into a log file, "console" echoes it
bridgeStderrLog "" log path override for "log" mode (absolute paths only)

The environment variable DSH_UNITY_MCP_FLAGS (whitespace-separated) seeds the launch flags for one run.

Manual installation

Replace /path/to/dsh-unity-mcp with your local checkout:

mkdir -p ~/.dsh/profiles/web/node_modules/@comecaramelos
ln -s /path/to/dsh-unity-mcp ~/.dsh/profiles/web/node_modules/@comecaramelos/dsh-unity-mcp

Add the dependency and bundle to ~/.dsh/profiles/web/package.json, preserving existing entries:

{
  "dependencies": {
    "@comecaramelos/dsh-unity-mcp": "link:/path/to/dsh-unity-mcp"
  },
  "dsh": {
    "profile": {
      "bundles": [
        "@deepseek-ai/dsh-base",
        "@deepseek-ai/dsh-web-app",
        "@comecaramelos/dsh-unity-mcp"
      ]
    }
  }
}

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